405 Econometrics Jobs - Page 9

Agency : PivotRoots Job Description : The Media Development Team Leader is responsible for defining and designing media experiences. S/He implements the Mx Development process across a portfolio of clients. Mission & Responsibilities Create and deliver optimal Mx, defined as Connection x Context x Content Work with Audience Architect to develop the growth target persona all the way through the media experience – for inclusion in planning tools, into buying audiences and into addressable segmentation Allocate budget across channels based on audience and objective in conjunction with econometrics and attribution specialists Recommend optimum content and context based on client, brief and strategy Deliver overall experience and articulation of how channels work together Input measurement framework, including KPIs and methodology in conjunction with specialists and Mx measurement teams Create and present Mx Story to clients Create the Mx guidelines in liaise with relevant internal specialist teams Ensure quality control on plan recommendation against Mx delivery Provide insightful post campaign optimization Contribute to the client satisfaction Ensure optimal Mx delivery Ensure audience planning and data integration from Mx brief to Mx measurement Previous Experience & Industry Background 8+ years professional experience in strategic planning Media, Brand Qualifications & Languages: Bachelor’s or Master’s degree in Business, Marketing or Advertising Languages: English (Advanced) Soft skills & Competencies Understanding the business Taking initiative Focusing on performance Building collaborative relationships Media and media planning Mx Champion (Connection, Context, Content) Omnichannel Strong negotiation skills Elite Programmatic Data processing and management Marketing Strategy Technical skills Advertising technologies Operational performance management tools (e.g. Pilot, Magnitude) Audience planning tools (e.g. Polaris) Office software Contract Type : Permanent Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance Analytics Trainee – Advanced Analytics Join the data revolution! MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymised, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. Be part of an Analytics Center of Excellence that is developing consumer insights that are reshaping how businesses make decisions. Advanced Analytics is charged with servicing Consulting Services, Information Services and Managed Services by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization. Use broad retail, capital markets, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base. Major Responsibilities:  Rigorously and logically identify issues covering entire client problem to understand business objectives  Generate key hypotheses and independently structures work at the stream or small project level  Identify creative and useful additional analyses required and suggest new paradigms for recommendations  Create effective, impactful and quality assured storylines and slides at stream or small project level  Analyze large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth  Synthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level.  Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals  Set the department standard for data driven insights and advanced analytics solutions using tools such as SAS, SQL and MS office suite  Collect and synthesize feedback from clients, project delivery analysts, and sales teams for new solutions or product enhancements. Provide design specifications, functional and technical requirements for development of new products and solutions.  Generates key hypotheses and independently structures work at the work stream or project level  Build behavioral scorecards for target marketing and risk management solutions using econometric and statistical modeling techniques  Create highly predictive models using segmentation and regression techniques to drive profits  Reviews analytics end-products to ensure accuracy, quality and timeliness.  Develops effective working relationships with global teams and business partners  Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Qualification and Skills Required:  Advanced degree in Economics/Statistics/Mathematics or B.E. in a technical or quantitative discipline before M.B.A from Tier 1 Business Schools in India.  Acumen of business analysis, segmentation and modeling, data mining using large volumes of granular data to deliver analytical solutions  Excellent verbal and written communication skills  Excellent analytical skills  Ability to work on a team or independently  Ability to multi-task in a fast-paced, deadline-driven environment  Advanced Word, Excel and PowerPoint skills  Attention to detail  Platforms/Environments: SQL, Python, VBA, Tableau Languages:  English required  Additional languages desired Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Responsibilities Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 5 years of experience in at least one of the following languages: Python, R 5 years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 1+ years of experience in developing LLM solutions for Enterprise Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Show more Show less

You will be accountable for coordinating our delivery efforts across the internal and external teams located in AIN and across India. Additionally, the Director must manage relationships across a complex internal set of teams and functional groups. This position reports to the Executive Director, Technology & Workforce Transformation and will be responsible for the following: Responsibilities Key Integrator: Act as the main point of contact and representative of the Tech and Workforce Transformation team in India. Talent Development: Hire, train, develop, and manage talent to meet organizational needs. Global Collaboration: Act as the primary point of contact for GCC senior leadership in the US and the offshore team in India, including Contract teams and direct AIN FTEs. Optimization: Oversee analysis efforts to optimize workforce and resource allocation, driving efficiency across the business. Operational Excellence and Delivery: Oversee end-to-end delivery of core sales & marketing operations projects ensuring quality, scalability, and operational efficiency. Offshore Vendor Management: Manage offshore teams including CWs, maintaining quality of service and timely deliverables. Innovation Leadership: Foster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in automation and AI. Continuous Improvement: Lead identification and prioritization of areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. Automation: Lead the piloting, planning, and implementation of automation across the GCC portfolio of capabilities. Business Impact & Collaborator Management: Ensure capability solutions drive tangible business outcomes. Collaborate with global key collaborators to refine requirements, measure impact, and report progress. Financial Management: Oversee GCC budget associated with offshore work in India, ensuring best negotiated rates and overall value. What We Expect of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications Doctorate degree and 4 years of experience in statistics, operations research, mathematics, econometrics, business administration, or a quantitative field OR Master's degree and 14 to 16 years of experience in the above fields OR Bachelor's degree and 16 to 18 years of experience in the above fields Preferred Qualifications Relevant sales, marketing, operations, and Bio/Pharmaceutical industry experience. Innovative customer capability leadership experience. Minimum 5 years of professional experience in operational effectiveness with a consistent record of automation development and capability efficiencies. Comprehensive understanding of setting up data models and running scenario planning to match business needs. Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedicated teams, delivering results, and shaping the future. Ability to foster openness and transparency, encourage diverse opinions, and empower risk-taking in idea generation, incubation, and experimentation. Proven ability to lead the creation of an automation and innovation-forward culture driving top-line growth, cost control, and timely corrective action to mitigate risks. Strategic thinker able to handle issues impacting a portfolio of therapeutics across geographies and development stages. Experience managing multiple senior key collaborators, prioritizing responsibilities, and allocating resources for maximum impact. Strong oral, written, and presentation skills to clearly explain complex concepts and controversial findings to diverse audiences, including senior management. Comfortable challenging the status quo and proposing innovative solutions. Ability to identify opportunities for process and systems innovation and implement change to enhance team effectiveness. Experience leading large-scale global change management initiatives. Understanding of technology platforms and ability to partner effectively with IS/IT and cross-functional business leaders.

Position Overview ABOUT APOLLO Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. OUR PURPOSE AND CORE VALUES Our Clients Rely On Our Investment Acumen To Help Secure Their Future. We Must Never Lose Our Focus And Determination To Be The Best Investors And Most Trusted Partners On Their Behalf. We Strive To Be The leading provider of retirement income solutions to institutions, companies, and individuals. The leading provider of capital solutions to companies. Our breadth and scale enable us to deliver capital for even the largest projects – and our small firm mindset ensures we will be a thoughtful and dedicated partner to these organizations. We are committed to helping them build stronger businesses. A leading contributor to addressing some of the biggest issues facing the world today – such as energy transition, accelerating the adoption of new technologies, and social impact – where innovative approaches to investing can make a positive difference. We are building a unique firm of extraordinary colleagues who: Outperform expectations Challenge Convention Champion Opportunity Lead responsibly Drive collaboration As One Apollo team, we believe that doing great work and having fun go hand in hand, and we are proud of what we can achieve together. Our Benefits Apollo relies on its people to keep it a leader in alternative investment management, and the firm’s benefit programs are crafted to offer meaningful coverage for both you and your family. Please reach out to your Human Capital Business Partner for more detailed information on specific benefits. Apollo seeks a Quantitative Developer for its India Mumbai office within Quantitative Development team. The Quantitative Development team maintains proprietary mortgage investment risk models used for financial reporting, risk measurement, pricing and strategic business decisions. The candidate will report jointly to the Woodland Hills Consumer & Residential Quantitative Analytics team as well as the Indian Quantitative Analytics Team in support of the mortgage effort. Candidate will support trading and portfolio management team in daily tasks associated with mortgage trading and are expected to provide support until Noon NY time. Strong performers will have the opportunity to advance into larger responsibilities on the quantitative analytics team. Responsibilities Analyze and create portfolio loan tapes, verifying data consistency and generating stratifications and analysis Data Analytics: Applying transformations, substitutions to mortgage datasets to be used as an input to proprietary models Perform model runs Communicating with the traders on any assumptions applied Updating data tapes once new data is available Maintain data, research and assumptions on historical model runs [Populate key fields into Data Warehouse] Performing ad-hoc requests for data analysis, queries, etc, as needed by portfolio management and trading team Automating reporting and monitoring processes for existing transactions Qualifications & Experience Minimum Bachelor’s degree, ideally an advanced degree, in a Quantitative background (statistics, machine learning, quantitative finance, financial mathematics, econometrics, physics, mathematics) Junior Quant Analyst – (1-3 yrs) Experience working with data processing language, Python is preferred Experience working with basic data analysis tools such as SQL, Excel, etc. Experience working with basic programming languages (C++ and C# preferred) Basic knowledge of finance, capital markets Detail oriented Strong communication skills, both written and verbal Ability to work in a fast-paced environment, under pressure and deliver accurately and on time Apollo provides equal employment opportunities regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, veteran status, gender/sex or sexual orientation, or any other criterion or circumstance protected by applicable law, ordinance, or regulation. The above criteria are intended to be used as a guide only – candidates who do not meet all the above criteria may still be considered if they are deemed to have relevant experience/ equivalent levels of skill or knowledge to fulfil the requirements of the role. Any job offer will be conditional upon and subject to satisfactory reference and background screening checks, all necessary corporate and regulatory approvals or certifications as required from time to time, and entering into definitive contractual documentation satisfactory to Apollo. Show more Show less

Position Overview ABOUT APOLLO Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. OUR PURPOSE AND CORE VALUES Our Clients Rely On Our Investment Acumen To Help Secure Their Future. We Must Never Lose Our Focus And Determination To Be The Best Investors And Most Trusted Partners On Their Behalf. We Strive To Be The leading provider of retirement income solutions to institutions, companies, and individuals. The leading provider of capital solutions to companies. Our breadth and scale enable us to deliver capital for even the largest projects – and our small firm mindset ensures we will be a thoughtful and dedicated partner to these organizations. We are committed to helping them build stronger businesses. A leading contributor to addressing some of the biggest issues facing the world today – such as energy transition, accelerating the adoption of new technologies, and social impact – where innovative approaches to investing can make a positive difference. We are building a unique firm of extraordinary colleagues who: Outperform expectations Challenge Convention Champion Opportunity Lead responsibly Drive collaboration As One Apollo team, we believe that doing great work and having fun go hand in hand, and we are proud of what we can achieve together. Our Benefits Apollo relies on its people to keep it a leader in alternative investment management, and the firm’s benefit programs are crafted to offer meaningful coverage for both you and your family. Please reach out to your Human Capital Business Partner for more detailed information on specific benefits. Apollo seeks a Quantitative Developer for its India Mumbai office within its Quantitative Development team. The Quantitative Development team maintains proprietary mortgage investment risk models used for financial reporting, risk measurement, pricing and strategic business decisions. The candidate will report jointly to the Woodland Hills Consumer & Residential Quantitative Analytics team as well as the Indian Quantitative Analytics Team in support of the mortgage effort. Candidate will support trading and portfolio management team in daily tasks associated with mortgage trading and are expected to provide support until Noon NY time. Strong performers will have the opportunity to advance into larger responsibilities on the quantitative analytics team. Responsibilities Improve upon current database through streamlining, consolidation and organization of several terabytes of historical data across numerous products, including Consumer performance data Mortgage performance data Trade logs Historical industry datasets Track and examine daily servicer data for large portfolio of mortgage loans Monitor performance of investments through generation of reports for portfolio management, team, including Creation of performance dashboards and GUIs Maintenance of existing and new data Clean, reconcile and format existing and new data for consumption into models and performance outputs Track performance against agreed upon trade stipulations and generate reports for breaches Maintain data, research and assumptions on historical model runs in newly defined database Performing ad-hoc requests for data analysis, queries, etc, as needed by portfolio management and trading team Automating reporting and monitoring processes for existing transactions Qualifications & Experience Minimum Bachelor’s degree, ideally an advanced degree, in a Quantitative background (statistics, machine learning, quantitative finance, financial mathematics, econometrics, physics, mathematics, database management) Experience working with data processing language, Python is preferred Experience working with basic data analysis tools such as SQL, Excel, etc. Experience working with basic programming languages (C++ and C# preferred) Knowledge of finance, capital markets Detail oriented Strong communication skills, both written and verbal Ability to work in a fast-paced environment, under pressure and deliver on time 3-5 Yrs hands on work experience in data modelling, database management or as a DBA Have experience in building data exploratory tools Apollo provides equal employment opportunities regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, veteran status, gender/sex or sexual orientation, or any other criterion or circumstance protected by applicable law, ordinance, or regulation. The above criteria are intended to be used as a guide only – candidates who do not meet all the above criteria may still be considered if they are deemed to have relevant experience/ equivalent levels of skill or knowledge to fulfil the requirements of the role. Any job offer will be conditional upon and subject to satisfactory reference and background screening checks, all necessary corporate and regulatory approvals or certifications as required from time to time, and entering into definitive contractual documentation satisfactory to Apollo. Show more Show less

Position Overview ABOUT APOLLO Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. OUR PURPOSE AND CORE VALUES Our Clients Rely On Our Investment Acumen To Help Secure Their Future. We Must Never Lose Our Focus And Determination To Be The Best Investors And Most Trusted Partners On Their Behalf. We Strive To Be The leading provider of retirement income solutions to institutions, companies, and individuals. The leading provider of capital solutions to companies. Our breadth and scale enable us to deliver capital for even the largest projects – and our small firm mindset ensures we will be a thoughtful and dedicated partner to these organizations. We are committed to helping them build stronger businesses. A leading contributor to addressing some of the biggest issues facing the world today – such as energy transition, accelerating the adoption of new technologies, and social impact – where innovative approaches to investing can make a positive difference. We are building a unique firm of extraordinary colleagues who: Outperform expectations. Challenge Convention Champion Opportunity Lead responsibly. Drive collaboration As One Apollo team, we believe that doing great work and having fun go hand in hand, and we are proud of what we can achieve together. Our Benefits Apollo relies on its people to keep it a leader in alternative investment management, and the firm’s benefit programs are crafted to offer meaningful coverage for both you and your family. Please reach out to your Human Capital Business Partner for more detailed information on specific benefits. Position Overview The incumbent will be part of Market Risk group. They will play an instrumental role in the enhancement of Risk function which is a critical part of our overall business strategy by partnering closely with the senior leadership team in Risk. Apollo is seeking an investment risk professional with strong business acumen and technical skills to support its Market Risk function. The position will be responsible for monitoring and analyzing portfolio risks and engaging with Senior Portfolio Managers to identify drivers and exposures, respond to inquiries, and make recommendations that will ultimately influence investment behavior and portfolio construction. In addition, the incumbent will leverage their market risk experience and programming skills to develop tools that maximize efficiency and define how Apollo analyzes investment risks globally. The position also requires a strong project management, relationship management and people management skills, combined with a practical and hands-on experience in financial markets. Your Responsibilities Will Include Demonstrated ability to work effectively and independently across different businesses and functional areas with thorough attention to detail in a potentially high paced environment. Monitor investment risks of portfolios to ensure that risks are fully understood by portfolio managers and senior management, and appropriately scaled consistent with clients’ objectives. Analyze portfolio risk utilizing analytical tools and techniques to facilitate discussions on portfolio construction. Visualization of risk assessment via Tableau, Python or best in class visualization tool Utilize proprietary risk systems for monitoring of portfolio exposures, stress testing, risk and performance attribution. Partner with Analytics and Technology teams to develop, enhance, and deliver state-of-the-art risk analytics and models. Build and manage relationships with stakeholders, and more importantly with local and regional business leaders, including internal and external parties. Be diplomatic and adaptable, but nonetheless be a forthright influencer and communicator, capable of understanding and managing the diverse requirements of numerous senior stakeholders. Qualifications & Experience 2+ years of experience as a risk manager or in trading in large Inv Banks or Asset Manager with an emphasis within the credit products. Knowledge of traded credit market dynamics including cash, synthetics, and structured products. Good understanding of quantitative traded credit methodologies and traded credit analytics. Preference for programming skills; proficiency with Python, SQL, and Excel. Bachelor’s degree from an accredited institution required; master’s degree in a quantitative discipline such as mathematics, computer science, financial engineering, econometrics is preferred, but not required. Collaborative, organized, flexible and results driven. Must have strong drive and initiative, be collaborative to effectively liaise with senior stakeholders and colleagues. A forward thinking, creative individual who challenges the status quo and takes initiative to reengineer processes. Strong project management skills Excellent stakeholder management skills, including the ability to resolve conflict and observe confidentiality. Be nimble and flexible to balance multiple tasks simultaneously. The ability to take on a task and “run with it” to conclusion is a critical characteristic of this role. Apollo provides equal employment opportunities regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, veteran status, gender/sex or sexual orientation, or any other criterion or circumstance protected by applicable law, ordinance, or regulation. The above criteria are intended to be used as a guide only – candidates who do not meet all the above criteria may still be considered if they are deemed to have relevant experience/ equivalent levels of skill or knowledge to fulfil the requirements of the role. Any job offer will be conditional upon and subject to satisfactory reference and background screening checks, all necessary corporate and regulatory approvals or certifications as required from time to time, and entering into definitive contractual documentation satisfactory to Apollo. Show more Show less

Job Description Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled Statistician with expertise in statistics, mathematics, econometrics, and experience with consumer panel data to revolutionize the way we measure consumer behavior both online and in-store. You will work on all methodologies sitting on our Panel On Demand (POD) platform which includes aggregation methods and analytical models. About The Role Collaborative Environment: Work with an international team in a flexible and supportive setting. Methodology Enhancement: Evaluate and improve current methodologies within the POD platform Research and Analysis: Present and communicate findings and recommendations based on rigorous research and analysis. Innovative Solutions: Develop prototypes of new solutions and methodologies to address market challenges. Deployment Support: Assist the technical deployment of proposed enhancements and new solutions. Documentation: Document findings, methodologies, and best practices comprehensively. About You Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights. Qualifications Educational Background: Master’s Degree in Mathematics, Statistics, Socio-economics, Data Science, or a related field with a minimum of 3 years of relevant experience. Statistical Expertise: Strong statistical and logical skills, with experience in data cleaning, statistical modeling, sampling, and data aggregation techniques. Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels. Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets. Programming Proficiency: Experience with Python or another high-level programming language, with a willingness to learn Python. Database Handling: Skilled in SQL and working with queries and large-scale databases. Continuous Learning: Eagerness to adopt and develop evolving technologies and tools. Communication and Collaboration: Strong communication, writing, and collaboration skills. Embark on this exciting journey to transform our panel measurement business and make a significant impact in the world of consumer analytics. Apply now to be a part of our innovative team! Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

At Hempel, we trust you to shine. If you have the drive to contribute and embrace new challenges you will enjoy great opportunities with us. Right now, we’re looking for a Commercial Excellence Specialist to join our global Marine team. As a Commercial Excellence Specialist, you will play a key role in implementing commercial processes and sales excellence activities within the region. This role to be based in Bahrain and reports into Commercial Excellence Manager. You can look for forward to working with a diverse group of ambitious and talented people from many different backgrounds, giving you a unique global network. Here Are Some Key Responsibilities To Look Forward To Support the Global Commercial Excellence team with the standardization of the commercial processes and other key objectives Utilize advanced Excel skills (including pivot tables, lookups, and potentially SQL queries) to manipulate and interpret complex datasets Be involved in several data hygiene processes Drive initiatives from other functions to sales in a structured manner Drive implementation & effective sales tools (CRM & PowerBi) usage Proactively identify and address challenges, working collaboratively to find effective solutions in the commercial arena Engage with ideas on improvements on tools and processes after checking for feedback with intended stakeholders What We’re Looking For Graduate in Business OR Econometrics / Data Science or any data heavy discipline Excellent Microsoft office skills especially Excel (Large data set analysis, SQL etc). Experience with project management tools – Miro, Trello, etc preferred Ability to converse fluently in English (verbal and written) Excellent interpersonal skills with ability to interact with, negotiate & drive changes Ability to work in a fast-paced, global, matrix environment Does it sound like a match to you? Click the ‘Apply for position’ button in the top-right corner and submit your application letter with a CV in English via our recruitment system. Final deadline for applications is 02 Jul 2025. More About Hempel At Hempel, you’re welcomed to a global community of 7,500 colleagues around the world. A workplace built on shared trust, mutual respect and support for each other. We’re on a mission to double our impact. To succeed, we need bright minds and team players. Which is why, from day one, your input, ideas and initiative are not only welcomed, but expected. In return, you will enjoy great opportunities for development in a growing global company – and be part of the solution by contributing to our global impact. At Hempel, we are committed to everyone feeling safe, valued and treated equally, in an environment where each employee can bring their authentic selves to work. We believe that inclusion is key to innovation and by bringing together the most diverse perspectives and talents, we can achieve great things, together. We are proud to be majority owned by the Hempel Foundation, dedicated to philanthropic activities, with our earnings contributing to a multitude of charitable initiatives every year. It means that when working at Hempel, your hard work and dedication contributes to a greater cause, making your career matter twice. Learn more about Hempel and our commitments on hempel.com/career. Application due 2025-07-02 Seniority Level Mid-Senior level Job Functions Analyst, Project Management, Strategy / Planning Industry Chemicals At Hempel, you’re welcomed to a global community of +7000 colleagues around the world. A workplace built on shared trust, mutual respect and support for each other. We’re on a mission to double our impact. To succeed, we need bright minds and team players. Which is why, from day one, your input, ideas and initiative are not only welcomed, but expected. In return, you will enjoy great opportunities for development in a growing global company – and be part of the solution by contributing to our global impact. At Hempel, we are committed to everyone feeling safe, valued and treated equally, in an environment where each employee can bring their authentic selves to work. We believe that inclusion is key to innovation and by bringing together the most diverse perspectives and talents, we can achieve great things, together. Show more Show less

At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds. As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised. What You Can Expect Data Scientist Role Design and Implement Advanced Analytics Solutions: Develop, deploy, and manage data-driven models and algorithms in R/Python to drive actionable insights, with a focus on optimizing inventory and asset allocation, reducing freight costs, and enhancing customer satisfaction. Deliver Business Insights: Collaborate with subject matter experts to provide meaningful analytics and insights that directly inform decision-making processes in Commercial Operations. Develop and Optimize Reporting Infrastructure: Build, maintain, and enhance data pipelines and architecture to support automated, scalable reporting solutions that leverage data from diverse sources. Enhance Customer Experience with Data-Driven Tools: Create and refine analytics tools, dashboards, and KPIs that empower Customer Service teams to improve customer experience and satisfaction effectively. Ensure Data Integrity and Quality: Design and implement robust data validation techniques and algorithms to improve and maintain the accuracy, consistency, and reliability of data across systems. Drive Cross-Functional Data Projects: Lead and coordinate global data-driven initiatives, ensuring seamless collaboration across teams in APAC and globally within Commercial Operations What Makes You Stand Out Exceptional quantitative abilities with a demonstrated capacity for tackling complex problems through structured, data-driven approaches. Extensive experience in leveraging analytical tools and software packages, particularly Python or R, to derive actionable insights and support data-driven decision-making. Excellent written and verbal communication skills, with the ability to convey technical findings clearly and persuasively to diverse stakeholders. Proven ability to thrive both independently and within collaborative, cross-functional team environments. Familiarity with integrated development environments (IDEs) and version control systems like Git is a strong advantage. Strong ability to communicate complex ideas clearly and effectively across all levels of the organization, from technical teams to senior management. Your Background Bachelor’s or Master’s degree in a relevant quantitative discipline such as Mathematics, Computer Science, Engineering, or Econometrics. Minimum of 3 years of experience in a data analytics role, with a demonstrated track record of leading data analytics projects showcasing significant individual contributions and ownership. Proficient in working with SQL-based databases and programming in high-level languages such as R and Python. Experience with machine learning algorithms and optimization techniques is highly desirable. Data Visualization and BI Tools: Familiarity with Microsoft products and business intelligence tools like Power BI and Tableau is a strong advantage. Fluent in English, with strong communication skills suitable for both technical and business contexts. Travel Expectations Willingness to travel up to 10% of the time as needed for business purposes. EOE/M/F/Vet/Disability 5294 Show more Show less

FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly €50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures. In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point-of-sale (POS) solution tailored for emerging markets. The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state-of-the-art POS solutions designed to meet the needs of both merchants and agents. FairMoney thrives on its diverse workforce, bringing together talent from over 27 nationalities. This multicultural team drives the company's mission of reshaping financial services for underserved communities.To gain deeper insights into FairMoney's pivotal role in reshaping Africa's financial landscape, we invite you to watch informative video. Job Summary: Your mission is to develop data science-driven algorithms and applications to improve decisions in business processes like risk and debt collection, offering the best-tailored credit services to as many clients as possible. Requirements Strong background in Mathematics / Statistics / Econometrics / Computer science or related field 5+ years of work experience in analytics, data mining, and predictive data modelling, preferably in the fintech domain Being best friends with Python and SQL Hands-on experience in handling large volumes of tabular data Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to a specific business problem Feeling confident working with key Machine learning algorithms (GBM, XG-Boost, Random Forest, Logistic regression) Being at home building and deploying models around credit risk, debt collection, fraud, and growth . Track record of designing, executing and interpreting A/B tests in business environment . Strong focus on business impact and experience driving it end-to-end using data science applications . Strong communication skills Being passionate about all things data. Our tool stack Programming language: Python Production: Python API deployed on Amazon EKS (Docker, Kubernetes, Flask) ML: Scikit-Learn, LightGBM, XGBoost, shap ETL: Python, Apache Airflow Cloud: AWS, GCP Database: MySQL DWH: BigQuery, Snowflake BI: Tableau, Metabase, dbt Streaming Applications: Flink, Kinesis Role and Responsibilities Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Mine and analyze data from company databases and external data sources to drive optimization and improvement of risk strategies, product development, marketing techniques, and other business decisions Assess the effectiveness and accuracy of new data sources and data gathering techniques Use predictive modelling to increase and optimize customer experiences, revenue generation, and other business outcomes Coordinate with different functional teams to make the best use of developed data science applications Develop processes and tools to monitor and analyze model performance and data quality Apply advanced statistical and data mining techniques in order to derive patterns from the data Own data science projects end-to-end and proactively drive improvements in both data Benefits Paid Time Off (25 days Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Training & Development budget Paid company business trips (not mandatory) Remote work Recruitment Process Screening call with Senior Recruiter Home Test assignment Technical interview Interview with the team and key stakeholders Show more Show less

About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work. About the Role We are looking for a candidate with a strong academic record and industry experience in Natural catastrophe modelling for our Underwriting Advisory Team at Bangalore. This job offers you a chance to join the dynamic and fast paced world of a highly specialized financial services organization. You get in-depth exposure to Swiss Re s proprietary natural perils model platform and costing tools and to natural catastrophe reinsurance business from Swiss Res global client base. Depending upon your inclination and skills, over time you will have the opportunity to widen your roles in multiple areas. Position Summary Provide high quality Nat cat underwriting advisory to underwriting desks at Swiss Re which will include but not limited to Europe, Middle East and Africa. Your role would involve: You will support the analysis of Property treaty business across markets. This includes the reviewing of submission data providing data analysis & risk modelling of Nat Cat loss scenarios making the best use of SRs costing techniques to model / forecast and quantify the impact of contract features relevant to costing. Support in product & process innovation using the findings from underwriting support and suggest improvements to Nat cat models, tools, and systems. Collaborating with the underwriting community abroad and other business partners on various projects to generate new valuable services for Swiss Re. Establish & maintain positive relationships with internal partners. Identify & resolve service issues with internal clients /stakeholders, prepare statistical client/region specific reports and share input/solutions with internal business partners. About You/ Qualifications An advanced degree in the field of natural science or a quantitative field (e.g., engineering, statistics, Mathematics, Econometrics) which is closely related to these subject areas Proficient in Property re/insurance underwriting, single-risk assessment, risk modelling and contract preparation, with minimum 2 to 5 years of relevant Underwriting experience Good understanding of underwriting techniques, methods, tools, and processes Ability to analyze large data sets, investigate complex connection and draw relevant conclusion. Expertise in R, Advance Excel (VBA), SQL and Power BI and inclination towards learning new technologies will be an added advantage. Strong motivation to learn about re/insurance and overseas markets Strong team-player with ability to collaborate with teams in other locations and cultures, along with strong sense of accountability and execution Excellent command of English (written and spoken). Other foreign language will be added advantage Above all: scientific and technological curiosity with the ability to bring new insights to constructively challenge the status quo. About Swiss Re If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134074

About Us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who You Will Work With Bain & Company is the leading consulting partner to the private equity industry and its stakeholders. PEG (Private Equity Group) in Bain provides comprehensive advisory services to investors across the entire investment lifecycle. PEG expertise spans from pre-investment strategy and due diligence to post-acquisition value creation and portfolio management. PIT is a specialized division dedicated to supporting the private equity sector and its stakeholders. A key area of focus is harnessing Generative AI to develop innovative solutions that streamline due diligence, automate processes, and enable data-driven decision-making. By integrating expertise in due diligence, operational improvement, and cutting-edge technologies like Generative AI, PIT empowers private equity clients to achieve superior returns and maintain a competitive edge in the market. What You’ll Do This is an opportunity to be a part of BCN Data business expanding science capability area. This position will be part of the PIT (PEG Innovation Team) Product Support: The team will primarily support the Beta production of AI applications for PEG (Private Equity Group) as part of Bain’s DD2030 (Due Diligence 2030) initiative. Generative AI Focus: A significant portion of the work is expected to relate to Generative AI applications, pushing the boundaries of innovation in the private equity space. Broader Automation: The role may also include contributing to broader PIT automation initiatives aimed at streamlining processes and enhancing efficiency across various investment lifecycle stages. The person in this role will need to: Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks. Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI. About You A Bachelor’s or Master’s degree in in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred 3-5 years of experience with data science & data engineering with Hands-on experience with AI/GenAI tools such as Scikit-Learn, LangChain, and Hugging Face Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration. Proficiency with data wrangling in either R or Python is required Proficiency in SQL is required, and familiarity with NoSQL data stores is a plus Familiarity with MLOps practices for model lifecycle management Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker/ Kubernetes is a plus Agile way of working and tools (Jira, Confluence, Miro) Strong interpersonal and communication skills are a must. Experience with Micrsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience. What Makes Us a Great Place To Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents. Show more Show less

About Us Bain & Company is a global management consulting firm that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who You Will Work With This role is based out of the Visualizations CoE – Transformation & Change team, which sits under the broader “Data & Tech” cluster at the BCN. We work closely with global Bain case teams, product teams and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., PowerBI, SQL, Python, Azure, AWS, Tableau, Alteryx, etc.). The Custom Reporting team here is responsible for developing highly functional custom PowerBI reports for the ARC tool - Bain's state-of-the-art transformation management tool - to help Bain clients track progress on different transformation workstreams.. What You’ll Do Work with Bain teams as an expert on specific tools, such as Microsoft power platforms (PowerBI, PowerAutomate), SQL, Alteryx and Python to design and deliver impactful business intelligence tools or dashboards Develop understanding about the ARC tool and the data fields contained within Work closely with the case team/end-client/ ARC Customer Success team to understand the requirements, build proof of concepts and draw roadmap for output delivery with clear milestones Work under the guidance of a Senior Associate/ Team Manager, playing a key role in driving the team’s overall answer and final materials, client communication, work planning, and team management Gather requirements and business process knowledge in order to transform the data in a way that is geared towards the needs of end-users. Responsible for end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing, visualization and deployment Apply knowledge of data warehousing and visualization to prepare dataflows using SQL, and then developing dashboards using PowerBI, to support case teams with analysis of KPIs and development of commercial dashboards Lead the design, development, and deployment of Power BI dashboards that deliver intuitive, high-performance data visualizations. You'll create complex data models and write optimized DAX formulas to support self-service reporting and in-depth analysis Automate workflows with Power Automate, allowing seamless integration between different applications, data sources, and business processes Solve complex custom visualization and analysis issues, providing thought leadership and business judgment Brainstorm any possible roadblocks with the team, providing thought leadership and business judgment Participate in case team calls and effectively communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal team About You Candidate should be a Graduate from a Top-tier College with strong academic records, and with 1 year of relevant work experience in areas related to Data Management, Business Intelligence or Business Analytics. Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred Minimum 1 year of experience in data preparation and visualization using tools such as Microsoft Power BI and SQL Extensive experience in developing Power BI reports and dashboards, with a focus on data modeling, report performance optimization, and creating interactive visualizations Experience in developing custom Power Apps applications is a plus, along with knowledge of Alteryx and Python Competent with PowerBI Desktop, Gateway, Service and Report Server tools; good understanding of Power Query M-code and hands-on experience in building sophisticated DAX queries What Makes Us a Great Place To Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.. Show more Show less

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Background Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 5+ years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3-5 years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Company Profile: Bain & Company is one of the top management consulting firms in the world. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center in Gurugram, now renamed as Bain Capability Network (BCN). The BCN plays a critical role in supporting Bain's case teams and initiatives globally to help with analytics and research across all industries and capabilities. Team Summary: This position is based in BCN's Gurgaon office and is a vital part of the Data and Technology team. The Benchmarking team, part of the Data & Insights Industries CoE, plays a critical role in advancing Bain's expertise in the consumer products sector. Our team is responsible for building and maintaining comprehensive databases that capture key industry benchmarks and performance metrics. These data assets empower Bain's consultants to deliver unparalleled insights and drive value for clients in the consumer products industry. By staying ahead of industry trends and leveraging advanced data analytics, the Consumer Products Benchmarking team supports Bain’s commitment to delivering top-tier strategic guidance to its clients. Over time, we have developed seamless solutions and utilize powerful, dynamic visualizations and charts on various platforms to showcase our results. A key arm of the team is also involved in creating critical intellectual property (IP) that is valuable for new CPG cases globally at Bain. Position Summary: The person in this role will need to: Translate business objectives into data and analytics solutions and translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks. Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI. Will be a technical lead and might lead a small team, and manage their day-to-day activities and provide status update to PIT Required Experience: A Bachelor’s or Master’s degree in in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred 3+ years of experience with data science & data engineering with Hands-on experience with AI/GenAI tools Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration. Proficiency with data wrangling in either R or Python is required Familiarity with MLOps practices for model lifecycle management Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker/ Kubernetes is a plus Agile way of working and tools (Jira, Confluence, Miro) Strong interpersonal and communication skills are a must Experience with Microsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience

About us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with Bain & Company is the leading consulting partner to the private equity industry and its stakeholders. PEG (Private Equity Group) in Bain provides comprehensive advisory services to investors across the entire investment lifecycle. PEG expertise spans from pre-investment strategy and due diligence to post-acquisition value creation and portfolio management. PIT is a specialized division dedicated to supporting the private equity sector and its stakeholders. A key area of focus is harnessing Generative AI to develop innovative solutions that streamline due diligence, automate processes, and enable data-driven decision-making. By integrating expertise in due diligence, operational improvement, and cutting-edge technologies like Generative AI, PIT empowers private equity clients to achieve superior returns and maintain a competitive edge in the market. What you’ll do This is an opportunity to be a part of BCN Data business expanding science capability area. This position will be part of the PIT (PEG Innovation Team) Product Support: The team will primarily support the Beta production of AI applications for PEG (Private Equity Group) as part of Bain’s DD2030 (Due Diligence 2030) initiative. Generative AI Focus: A significant portion of the work is expected to relate to Generative AI applications, pushing the boundaries of innovation in the private equity space. Broader Automation: The role may also include contributing to broader PIT automation initiatives aimed at streamlining processes and enhancing efficiency across various investment lifecycle stages. The person in this role will need to: Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks. Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI. About you A Bachelor’s or Master’s degree in in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred 3-5 years of experience with data science & data engineering with Hands-on experience with AI/GenAI tools such as Scikit-Learn, LangChain, and Hugging Face Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration. Proficiency with data wrangling in either R or Python is required Proficiency in SQL is required, and familiarity with NoSQL data stores is a plus Familiarity with MLOps practices for model lifecycle management Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker/ Kubernetes is a plus Agile way of working and tools (Jira, Confluence, Miro) Strong interpersonal and communication skills are a must. Experience with Micrsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience. What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Morgan Stanley Market Risk Analytics - Analyst Profile Description We’re seeking someone to join our team as a [Analyst] to [Market Risk Analytics team]. Firm Risk Management In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives. Company Profile Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What You’ll Do In The Role Primary Responsibilities include, but are not limited to: Develop functional expertise on an assigned asset class over time. Support the AI/ML initiatives of the team including Gen AI projects. Design and develop Python analytical libraries supporting needs of the full suite of market risk models. Hold ownership of the code library including development, maintenance, testing, and governance. Effectively collaborate with other teams within Market Risk Analytics and partnering areas - Market Risk Department, Model Risk Management, Strats and IT - to deliver on project requirements. Effectively communicate requirements from the Engineering Team to a wider audience of project stakeholders and senior managers. Understanding of various market risk model metrics; staying up to date with regulatory guidelines and model developments. Skills Required What you’ll bring to the role: 1-3 years of work experience in Quantitative modeling, Risk Management, Algorithmic trading, Global markets, or any other quantitative/Data Science field. The candidate needs to be familiar with statistical techniques such as Monte-Carlo simulations, Merton- based factor model, Regression Analysis, Hypothesis testing, Time-series modeling, and Volatility modeling. Strong quantitative and analytical skills and ability to work with diverse cultures in a global team. Understanding of basic risk management concepts such as VaR (value-at-risk), stress tests, market risk modelling. Hands-on experience in Python with knowledge of packages used for data manipulation, time series and data analysis. Understanding of code development using OOPs concepts along with familiarity with Github version control. Strong communication skills (Oral and written). Ability to communicate complex and technical issues in simple manner. Attention to details and ability to work under pressure. Required Qualifications Graduate/ Postgraduate/ Advanced degree in Finance, Mathematics, Econometrics, Engineering, or other Quantitative subjects. Desirable Skills FRM, CFA, CQF certification is an advantage. Knowledge of risk mitigation practices and experience with Basel regulations will be an advantage. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Quality Analytics. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in Data science, computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 3+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Show more Show less

Sancta Maria International School is looking for Economics Faculty to join our dynamic team and embark on a rewarding career journey. Developing and teaching plans Advising and mentoring studentsConducting research and publishing findings in academic journals Participating in departmental and university-wide committeesEngaging in professional development activities to stay current in the field Excellent communication and interpersonal skills

Company Overview Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 59 offices in 37 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. We are passionate about achieving results for our clients (our public clients have historically outperformed the stock market 4:1). We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents. Department Overview The Reporting and Analytics CoE is an integral part of Bain’s global PPK group (Product, Practice and Knowledge). The team is responsible for bringing various functional reporting pieces under one umbrella to provide integrated and centralized reporting to the firm leadership on various aspects of the firm performance. Position Summary PPK Reporting & Analytics CoE has experienced strong growth as an internal business intelligence and analytics business over the past five years. Given the expansion of the team, we are looking for a Senior Specialist to join our Global Financial Planning and Analysis teamlet to help drive its analytical capabilities to full potential over the next phase. Specific Responsibilities * Support the development of reporting solutions using Alteryx, Power BI/ Tableau, and similar tools. Focus on generating actionable insights under the guidance of supervisor, ensuring that outputs meet the needs of stakeholders. * Assist in automating reporting processes to improve operational efficiency and support routine business activities. * Take responsibility for independently delivering complex tasks or smaller components within larger projects. Ensure tasks are completed on time and meet quality standards, while receiving direction and feedback from the supervisor. * Participate in cross-functional teams, offering support in analytics and business intelligence. Help gather and prepare data, and deliver insights that assist Managers and Senior Managers in shaping solutions and providing recommendations * Work on implementing best practices in automation and business intelligence reporting within the team. Ensure consistency and quality in deliverables, adhering to established standards. * Contribute to innovation efforts by bringing ideas and assisting in the execution of projects that align with the firm’s goals. * Actively engage in promoting a positive and collaborative team environment. Support initiatives led by Managers that reinforce the values and culture of the team. * Provide guidance and mentorship to junior team members, helping them develop their skills and align their work with project goals. * Assist in the recruitment process and contribute to the smooth onboarding of new team members, ensuring they quickly become effective members of the team. Qualifications * 7-9 years (graduates) or 5-7 years (post-graduates) of relevant experience in data analytics, business intelligence, and reporting solutions development, with a strong focus on leveraging tools like Alteryx, Power BI and Tableau. * Proficiency in using data visualization tools (e.g., Tableau, Power BI) with a solid understanding of best practices in data-driven reporting. * Competence in SQL, with experience in optimizing queries that meet project-specific needs. * Prior experience working in the Finance function or a basic understanding of finance function fundamentals is preferred * Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics. * Strong problem-solving skills with the ability to develop innovative solutions for complex data analytics challenges and contribute to the continuous improvement of reporting processes. * Understanding of data structures, algorithms, and basic programming principles, with the ability to apply these in the context of data analytics and reporting solutions. * Demonstrated ability to contribute to the development and deployment of reporting solutions and data analytics products that enhance business intelligence and support decision-making * Strong interpersonal and communication skills, with the ability to collaborate effectively with team members and articulate technical aspects of data solutions and automation techniques to colleagues. * Demonstrated curiosity, proactivity, and critical thinking, with a commitment to learning about emerging trends in data analytics and AI, and applying these insights to improve project outcomes. * Experience working in an agile environment, with the ability to handle changing priorities and contribute effectively to project tasks in a fast-paced setting. * Ability to collaborate with stakeholders within a department or practice area, across different offices and regions, ensuring that analytics solutions are aligned with the specific business needs of the teams involved. * Good to have a working knowledge of Python, particularly in automating reporting processes and data processing tasks and experience in implementing straightforward AI models for specific tasks using tools like ChatGPT. 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locationsMumbai - Hiranandaniposted onPosted 7 Days Ago time left to applyEnd DateJune 6, 2025 (6 days left to apply) job requisition idR_304068 Company: Mercer Description: Marsh is seeking candidates for the following position based in the Mumbai, India office Senior Manager - Research (M&A Due Dilligence) We will count on you to Invest in understanding our business thoroughly Contribute to the growth of the Marsh brand within the Australian and New Zealand market Prepare and deliver parts or whole of insurance due diligence reports Support in the preparation of key documents for transactional risk insurance placements Summarise key quotations received from insurers Prepare kick off materials for insurance placements Keep abreast of changing risk and insurance market conditions Coordinate with colleagues from other practices within the region Demonstrate extreme responsiveness and process excellence in daily work Estimate timelines accurately, deliver on time, flag issues proactively, be solution oriented and create routines that enhance efficient working Develop strong relationships with colleagues and stakeholders through high quality project delivery, responsiveness, and agile and clear communication Contribute to process improvement of the team by making relevant recommendations and executing the process initiatives to enhance the efficiency and quality of overall delivery What you need to have: Masters / Bachelors in Economics or Masters in Business Administration (MBA) / equivalent post-graduation certification from a reputed institute Minimum of 5 years of experience in collecting information, co-ordinating with colleagues, writing professional client ready reports, at leading professional services / research & advisory firms Prior experience in a Due Diligence role, or demonstrated experience with clients considering M&A Excellent English language communication skills - written and verbal Strong analytical, critical thinking, and problem-solving skills Excellent project and process management skills Advanced level of proficiency in MS Office - PowerPoint, Word, and Excel Ability to identify the right data from a finite data set and compile part/whole of the report Highly organised and self-motivated with the ability to work without heavy supervision, act in an agile way independently, in a fast-paced environment Strong commitment to absorb and engage in feedback discussions and enhancing own knowledge and quality of end products What makes you stand out Strong understanding of M&A insurance products and in assessing insurance coverage gaps Experience working in a cross-cultural environment Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

ERM is seeking a (Senior) Quantitative Researcher to develop algorithms, financial models, and analytical tools that link non-financial ESG data with financial outcomes. This role is ideal for a professional with a strong quantitative background, proficient in statistical modelling, machine learning, and financial analysis. The candidate will work on transforming sustainability materiality and maturity frameworks into automated, scalable models that assess performance and valuation impacts. This is a non-client-facing offshore role focused on data-driven ESG research and tool development. The Ideal Candidate You bring a robust background in financial modelling and valuation with a deep passion for sustainability (e.g. climate, nature, employees wellbeing, sustainable revenue). You have demonstrated success in integrating ESG factors into transaction analysis and investment decision-making. With experience in investment banking, strategy consulting, or transaction advisory—and preferably exposure to private equity—you are adept at turning complex and qualitative ESG concepts into actionable financial insights. You will be able to communicate with senior stakeholders and provide thought leader in this evolving space. RESPONSIBILITIES: Quantitative Research & Algorithm Development Design data-driven models that quantify the impact of ESG factors on financial performance. Develop statistical algorithms that integrate materiality and maturity definitions into predictive financial models. Leverage machine learning techniques (e.g., regression analysis, clustering, time-series forecasting) to identify trends in ESG data. Data Analysis & Model Development Build automated financial modelling tools that incorporate non-financial (ESG) data and financial metrics. Develop custom ESG performance indicators that can be used in due diligence, exit readiness, and investment decision-making. Standardize ESG data inputs and apply weightings/scoring methodologies to determine financial relevance. Tool Development & Automation Work with developers to code ESG models into dashboards or automated financial tools. Implement AI/ML techniques to enhance model predictive capabilities. Ensure models are scalable and adaptable across multiple industries and investment types. Data Management & Validation Collect, clean, and structure large datasets from financial reports, ESG databases, and regulatory filings. Conduct sensitivity analyses to validate model accuracy and effectiveness. Ensure consistency in ESG metrics and definitions across all analytical frameworks. REQUIRED SKILLS & EXPERIENCE: Educational Background Master’s in Finance, Econometrics, Data Science, Quantitative Economics, Mathematics, Statistics, or a related field. CFA, FRM, or other financial analysis certifications are a plus. Technical & Analytical Proficiency Financial & Statistical Modelling: Advanced Excel, Python, R, or MATLAB for quantitative research and financial modelling. Machine Learning & AI: Proficiency in ML algorithms for forecasting, clustering, and risk modelling. Data Analysis & Automation: Experience with SQL, Power BI, or other data visualization tools. ESG & Financial Integration: Understanding of ESG materiality frameworks (SASB, MSCI, S&P, etc.) and their impact on valuations. Professional Experience Minimum 5-8 years in quantitative research, financial modelling, or ESG data analysis. Experience in building proprietary financial tools/models for investment firms or financial consultancies. Strong background in factor modelling, risk assessment, and alternative data analysis. Personal Attributes Highly analytical, structured thinker with attention to detail. Ability to work independently in an offshore role, managing multiple datasets and models. Passion for quantifying ESG impact in financial terms. Show more Show less

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Position Description Summary Job purpose Technical Lead of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects. Specific Role Requirements Must have at least 4 years of deep experience in building descriptive/ predictive analytical solutions. Capability to clearly understand and articulate a data science problem and lead multiple projects with required support. Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning techniques in R/Python. Deep learning experience is a plus. Should have hands-on experience on database using SQL. Should have knowledge on Data visualization tool like Power BI. Good to have experience in any AutoML tool. Good to have experience in GenAI. Good to have experience in Azure cloud. Client Responsibilities: Need to work as a senior team member who should be able to use their skills/experience to be hands on in rapidly identifying and developing data science solutions. Provide product and design level technical best practices Interface and communicate with the onsite coordinators Develop analytical strategies for business using model results of predictive modelling, time series forecasting, clustering, segmentation of customers etc Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making. Completion of assigned tasks on time and regular status reporting to the lead Experience and Qualification: B Tech/Masters or Ph. D. degree in either Economics (econometrics) or Statistics or MBA (with strong quantitative background) or Bachelors in Engineering with strong quantitative background and adequate industry experience Should be at least around 5-6 years of experience in Analytics Should have understanding and experience of analytics best practices. Excellent business communication, Consulting, Quality process skills Must be a team player and team leader Your People Responsibilities (For People Leading Roles) Building a quality culture Manage the performance management for the direct reportees, as per the organization policies Foster teamwork and lead by example Training and mentoring of project resources Mentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc) Participating in the organization-wide people initiatives Additional Skills Requirements Experience in Insurance/ Banking/ Finance Prior Client facing skills Prior onsite experience is a plus Should have engaged in client interactions, participating in business workshops EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Show more Show less