405 Econometrics Jobs - Page 8

About This Role About this role BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. About Aladdin Financial Engineering (AFE) Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Overview We are looking to hire a quantitative modeler (Associate) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a solid foundation in basic quantitative techniques and knowledge of model governance practices. They should also have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. Strong communication and organizational skills are quite valuable to this role. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Coordinate with and navigate through multiple teams and stakeholders while managing timelines Backtesting, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualifications 3-6 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Degree in a quantitative discipline – master’s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A solid foundation in quantitative techniques Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Additional Job Description Non-functional skill requirements: In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement For Senior Positions Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus Show more Show less

Location: Hyderabad (In-Office) Faculty Name: Professor Gurvinder Sandhu Academic Area: Accounting The ISB Research Associate Program: ISB hosts a cutting-edge 2-year Research Associate Program within its Accounting area. This is akin to pre-doctoral programs run by many top research universities (especially in the U.S.), where students work alongside professors and typically pursue a Ph.D. in Business Administration (with a specialization in accounting) after that. This is a unique setting where candidates can attend Ph.D. courses on research methods (such as Panel Data Econometrics and Causal Inference) as well as seminar courses focusing on empirical archival research in Accounting, Auditing, and Corporate Finance. We invite applications from motivated individuals with a solid analytical academic background to work as a full-time Research Associate at ISB. Research Associates (RA) are expected to work for about two years and generally apply for the Ph.D. programs in their second year of the RA program. Research Summary of the Faculty Professor Gurvinder Sandhu Gurvinder Sandhu is an Assistant Professor of Accounting at the Indian School of Business (ISB). He holds a PhD in Management Science from the University of Texas at Dallas. He also holds an MBA from Melbourne Business School (University of Melbourne) and a B. Com from Kurukshetra University. Professor Sandhu’s research explores financial institutions, credit markets, and firms’ voluntary disclosures. His empirical work looks at what forces shape banks’ loan portfolios. He has developed a bank diversification measure that captures how diversified banks are in their commercial loan portfolio. His research has been accepted at various academic conferences, including the American Accounting Association and the European Accounting Association. His teaching interests lie in financial accounting, specifically financial statement analysis and introductory financial accounting. View Profile About ISB The Indian School of Business (ISB) evolved from the need for a world-class business school in Asia. The founders, some of the best minds from the corporate and academic worlds, anticipated the leadership needs of the emerging Asian economies. The ISB is committed to creating such leaders through its innovative programs, outstanding faculty, and thought leadership. The Indian School of Business (ISB) provides a robust environment that generates high-quality research that is both contemporary and rigorous. Roles and Responsibilities: Work Description Work with the faculty on research projects of common interest. The candidate will assist the professor in his ongoing. research, including support through data collection, data cleaning, literature review, and preliminary data analysis. You will be exposed to creating and handling big data sets, working extensively in statistical software/programming languages (such as Python, Stata, R, and SAS), and learning state-of-the-art research design methodologies (e.g., panel data regressions with fixed effects). This position is a good fit for a candidate looking to pursue a PhD in Accounting or excel in research (post-doctoral). Required Skills and Qualifications: Master’s degree in economics / finance / Statistics / Econometrics / Mathematics / Physics or engineering (electrical, signal processing, computer science), or a 4-year bachelor’s degree in mathematics/physics/economics from a premier institute. Strong background in Mathematics. Python/STATA/R/SAS coding skills are essential. The ideal candidate should be proficient in at least one of these languages/software. Knowledge of writing API queries/Web-Scraping algorithms, Machine Learning/AI, or textual analysis is an added advantage. Our Commitment towards you ISB is a research-focused business school. It offers a variety of opportunities to understand the current management phenomena in depth through research brown-bag seminars, workshops, and PhD-level courses. It provides several options to hone a person’s analytical skills. Along with the competitive salary and plethora of employee benefits, ISB hosts a world-class Learning Resource Centre and a comprehensive health and personal Accident Cover for you and your family members. ISB believes in creating a truly inclusive culture that values diversity, equity, and inclusion for everyone through our ideas and collaborations. If this role is your true calling, please complete the form using the link below. If you have any questions, please contact careers_ra_fd@isb.edu for any queries. Kindly do not send your resume through email id, as it becomes difficult to keep track. Use the link given below only to apply. https://www.cognitoforms.com/IndianSchoolOfBusiness9/FDOHiringForm We will connect with you shortly. Hyderabad Campus Indian School of Business Gachibowli, Hyderabad - 500111 Timings : Monday- Friday, 08:00 AM IST to 06:00 PM IST 040 23187777 0172 4591800 careers_hyderabad@isb.edu careers_mohali@isb.edu careers_ra@isb.edu Mohali Campus Indian School of Business Knowledge City Sector 81, SAS Nagar ,Mohali - 140 306

India Research Investment Bank Job Reference # 320357BR City Hyderabad Job Type Full Time Your role Do you have a passion for markets and to learn something new every day? Do you want to dive deeply into data and then step back to assess the big picture? We're looking for strategist to: analyze macroeconomic trend to have implications on the larger economy build and maintain databases and models to evaluate vast amounts of information provide economic views based on rigorous analysis of data trends comfortable with econometric packages like R, Eviews etc and market data packages including Bloomberg, CEIC, CMIE etc write clearly and explain complicated thoughts work collaboratively in a team setting and take leadership of projects Your core responsibilities set up, maintain and build databases set up, maintain and build chart libraries maintain, create, analyze and interpret macro and financial econometric models track macro-economic and financial data and their impact on global markets. provide end to end support for publications work under the guidance of senior members of the team based out of different locations Your team You’ll be working in Hyderabad, India, and collaborating with strategists in the Global Strategy team based in London, New York and Singapore. The team’s purview is as broad as it can be in financial markets – both global and across all asset classes. As such it represents one of the best learning opportunities available in finance. Your expertise excellent Microsoft excel skills 1-3 years of work experience in econometrics/statistical analysis coding experience in Python is must. Experience in R, Eviews or Matlab also counts. academic background in quantitative finance/financial engineering preferred working knowledge of market data platforms e.g. Bloomberg, Datastream, Macrobond, Factset, Haver strong understanding of economics, market fundamentals and its drivers About us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. We have a presence in all major financial centers in more than 50 countries. Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

JD 1: SIS – DQM- Data Quality team (C09) About us: AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: DQM team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support: Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc DQ rules Design: Identification of critical data elements in different systems, data quality rules design, testing and validation of rules Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Good exposure to SAS or SQL Good in MS Excel Domain Skills Good understanding of Data definitions and data discovery Data quality framework Data Governance Data Warehouse Knowledge Data definitions and data discovery Data Catalog , Data Lineage and Data Dictionaries (Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process management skills Ability to work in teams Educational and Experience: MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 1 to 2 years of hands on experience in delivering data quality solutions - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Company Description As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients’ most valued asset-management partner. With over 4,400 employees across 51 locations in 25 countries, our people are our advantage. We foster a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to clients, we’re looking for unique voices to help lead us forward. If you’re ready to challenge your limits and build your future, join us. Describe The Role Day to day responsibilities will include: Conduct asset allocation and manager evaluation research and creating bespoke client portfolios Undertake bespoke requests for data analysis; Build dashboards for data visualization (Python Dash) Handle data collation, cleansing and analysis (SQL, Python) Create new databases using data from different sources, and set up infrastructure for their maintenance; Clean and manipulate data, build models and produce automated reports using Python; Use statistical modelling and Machine Learning to address quantitative problems (Python) Conduct and deliver top notch research projects with quantitative applications to fundamental strategies. Preferred Skill Sets 2+ years of experience of RDBMS database design, preferably on MS SQL Server 2+ years of Python development experience. Advanced skills with programming using any of Python libraries (pandas, numpy, statsmodels, dash, pypfopt, cvxpy, keras, scikit-learn) – Must haves (pandas/numpy/statsmodels) Candidate should be capable of manipulating large quantities of data High level of attention to detail and accuracy Working experience on building quantitative models; experience with factor research, portfolio construction, systematic models Academic qualification in Mathematics/Physics/Statistics/Econometrics/Engineering or related field Understanding of company financial statements, accounting and risk analysis would be an added advantage Strong (English) communication skills with proven ability to interact with global clients Pune, India Show more Show less

Job Reference # 320357BR Job Type Full Time Your role Do you have a passion for markets and to learn something new every day? Do you want to dive deeply into data and then step back to assess the big picture? We're looking for strategist to: analyze macroeconomic trend to have implications on the larger economy build and maintain databases and models to evaluate vast amounts of information provide economic views based on rigorous analysis of data trends comfortable with econometric packages like R, Eviews etc and market data packages including Bloomberg, CEIC, CMIE etc write clearly and explain complicated thoughts work collaboratively in a team setting and take leadership of projects Your core responsibilities set up, maintain and build databases set up, maintain and build chart libraries maintain, create, analyze and interpret macro and financial econometric models track macro-economic and financial data and their impact on global markets. provide end to end support for publications work under the guidance of senior members of the team based out of different locations Your team You’ll be working in Hyderabad, India, and collaborating with strategists in the Global Strategy team based in London, New York and Singapore. The team’s purview is as broad as it can be in financial markets – both global and across all asset classes. As such it represents one of the best learning opportunities available in finance. Your expertise excellent Microsoft excel skills 1-3 years of work experience in econometrics/statistical analysis coding experience in Python is must. Experience in R, Eviews or Matlab also counts. academic background in quantitative finance/financial engineering preferred working knowledge of market data platforms e.g. Bloomberg, Datastream, Macrobond, Factset, Haver strong understanding of economics, market fundamentals and its drivers About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. We have a presence in all major financial centers in more than 50 countries. Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Show more Show less

Director - Portfolio Operations Delivery What you will do Let’s do this. Let’s change the world. In this vital role the Director, Portfolio Effectiveness and Optimization Results Delivery within the Customer Data & Analytics team is accountable for coordinating our delivery efforts across the internal and external team located in AIN and across India. In addition, the Director must manage relationships across a complex internal set of teams and functional groups. This position reports to the Associate Vice President, Portfolio Effectiveness and Optimization and will be responsible for the following Responsibilities Key IntegratorAct as main point of contact and representative of the Portfolio Effectiveness and Optimization team in India Talent DevelopmentHire, train, develop, and manage talent to meet organizational needs Global CollaborationAct as the primary point of contact for PE&O senior leadership in the US and the offshore team in India, either through our Contract teams or direct AIN FTEs Operational Excellence and DeliveryOversee end-to-end delivery of core data and analytics projects ensuring quality, scalability, and operational efficiency, while promoting standard processes in data governance and analytics methodologies Offshore Vendor ManagementManage offshore teams including CWs, maintaining quality of service and timely deliverables Innovation LeadershipFoster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in analytics, AI Business Impact & Collaborator ManagementEnsure analytics solutions drive tangible business outcomes and collaborate with global key collaborators to refine requirements, measure impact, and report progress Financial managementOversee PE&O 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 statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Master’s degree and 14 to 16 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Bachelor’s degree and 16 to 18 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience Managerial experience, directly handling people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Preferred Qualifications: Relevant data science certifications and Bio/Pharmaceutical industry experience 8+ years of innovative Data Science/Advanced Analytics leadership experience Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modelling and other analytics frameworks/techniques with 10+ years of experience delivering complex analytical projects Minimum 5 years of professional experience in Amazon Web ServicesRedShift, S3, Athena, etc. and industry standard Data Warehousing technologiesSnowflake, Spark, Airflow, etc. Advanced proficiency and hands on coding experience in Python/R/Scala/Java or any other Object-Oriented Programming language; ETL using SQL/shell scripting Experience in successfully completing AI/ML based Next Best Action recommendation engine to optimize against desired objective function(s) Expertise in setting up and measuring randomized controlled trials, cohort studies, and matched, case-control studies Comprehensive understanding of the components of setting up data models and running scenario planning that match the business need Experience in setting up process for data ingestion, Quality Checks etc. Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedication teams, delivering results, and shaping the future Ability to foster and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation The ideal candidate will lead the creation of an analytics-driven culture that drives top-line growth, controls costs, and takes timely corrective action to reduce risks that derail plans Ability to think strategically about issues impacting an entire portfolio of therapeutics across geographies and stages of development Experience managing multiple senior key collaborators, prioritizing across a multitude of responsibilities and allocating resources to drive maximum impact Partners with business leaders to deliver high-quality predictions that guide strategic decision making Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management Comfortable challenging the status quo and bringing forward innovative solutions Ability to identify areas for process and systems innovation and implement change that will enhance the overall effectiveness of the team Comfortable working through and leading large-scale global change management Understanding of technology platforms and ability to partner with IS/IT and business leaders What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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.

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. About the role As a Lead Data Scientist, you ll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences and Target s culture by modeling and contributing to the culture. You ll get the opportunity to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. You ll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You ll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You ll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team s products/models. You ll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you ll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We ll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team s work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you ll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retailIt s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience Master s degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Sr Data Analyst About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. As a Sr Data Analyst for Target s Merch Data Analytics team you ll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years exp Qualification B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts. 2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets. 4. Hands on experience in R, Python, Hive or other open-source languages/database 5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above 6. Git source code management & experience working in an agile environment. 7. Strong attention to detail, excellent diagnostic, and problem-solving skills 8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines 9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn. 10. Excellent communication, service orientation and strong relationship building skills 11. Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. As a Data Analyst for Target s Merch Data Analytics team you ll: A role with Data Analytics (DA) means being a part of the team that work in support of business teams, leveraging business area knowledge, business intelligence capabilities and analytical methods to deliver key insights and technology solutions that drive company business strategies. This cover developing innovative business insights through robust statistical and analytical methods. The emphasis will be on ability to synthesize and communicate actionable insights and analysis recommendations to enable fact-based business decision-making, which is possible through a combination of technical skills and business understanding. / About You: ExperienceOverall 2-6 years exp and relevant 1-3 years exp Qualification: TI B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1.Hands on experience to Structured Query Language (SQL) syntax, including joins, volatile tables, and basic query tuning. And deep understanding of core DW/BI concepts. 2. Experience in at least 1 BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Working knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS) 4. Exposure to R, Python, Hive or other open-source languages/database 5. Understanding of analytical techniques (like Regression, Time-series models, Classification Techniques, etc.) to discover and measure key business drivers 6. Git source code management & experience working in an agile environment 7. Problem solving skills 8. Self-motivated and able to work in team settings in a fast-paced environment 9. Competent and curious to ask questions and learn to fill gaps 10. Good communication 11. Experience with Retail, Merchandising, Marketing will be strong addons About you: Four-year degree or equivalent experience Excellent verbal and written communication skills Demonstrated guest service, interpersonal, and follow-up skills Ability to manage multiple tasks with effective organizational skills Proven problem solving, critical thinking, and decision-making skills Flexible, team player who learns quickly while adapting to evolving technology and processes Ability to learn and navigate numerous, unique systems; proficiency with MS Office Package Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Who is ERM? ERM is a leading global sustainability consulting firm, committed for nearly 50 years to helping organizations navigate complex environmental, social, and governance (ESG) challenges. We bring together a diverse and inclusive community of experts across regions and disciplines, providing a truly multicultural environment that fosters collaboration, professional growth, and meaningful global exposure. As a people-first organization, ERM values well-being, career development, and the power of collective expertise to drive sustainable impact for our clients—and the planet. Introducing our new Global Delivery Centre (GDC) Our Global Delivery Centre (GDC) in India is a unified platform designed to deliver high-value services and solutions to ERM’s global clientele. By centralizing key business and consulting functions, we streamline operations, optimize service delivery, and enable our teams to focus on what matters most—advising clients on sustainability challenges with agility and innovation. Through the GDC, you will collaborate with international teams, leverage emerging technologies, and further enhance ERM’s commitment to excellence—amplifying our shared mission to make a lasting, positive impact. Job Objective ERM is seeking a Modelling & Data Analyst 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 3-5 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

Job Description Internal Audit : What We Do As The Third Line Of Defense, Internal Audit’s Mission Is To Independently Assess The Firm’s Internal Control Structure, Including The Firm’s Governance Processes And Controls, And Risk Management And Capital And Anti-financial Crime Frameworks, Raise Awareness Of Control Risk And Monitor The Implementation Of Management’s Control Measures. In Doing So, Internal Audit Communicates and reports on the effectiveness of the firm’s governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assesses the firm’s control culture and conduct risks; and Monitors management’s implementation of control measures Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including financial risk managers, chartered accountants, business managers, developers, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm’s businesses and functions, including global markets, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, model risk and engineering. Internal Audit Model Risk The objective of Internal Audit Model Risk team is to assess the robustness of the firm’s model risk management framework, including the governance processes and associated controls related to model development and model validation activities. The team, which is a group of quantitative experts, is also charged with reviewing complex financial models utilized by the Firm as part of various audits with the objective to assess the robustness of the firm’s model risk management framework. The diverse array of model types which the team reviews include models used for valuation of financial products, risk management, capital calculation, compliance, algorithmic trading, investment management and machine-learning models. Job Description As a member of Internal Audit Model Risk team, the individual will be responsible for execution of audits related to model risk management through effective time management, in accordance with the internal audit methodology of the department. The team member will assist the project manager in executing the scope of the audit through walkthroughs and discussions with various modeling and model validation teams and discuss results of the audit with the firm’s local and global management. Specifically, Develop and maintain an in-depth technical knowledge of modeling – both theory and coding Critically review models including their conceptual soundness, documentation, code implementation accuracy and independent validation Conduct meetings with stakeholders including modelers and model validators Execute risk-focused audits of modeling and model risk management Engage in continuous monitoring of modeling and model risk areas Communicating modeling problems and issues to senior management Basic Qualification Advanced Degree (preferably Masters) in a quantitative discipline (Math, Statistics, Economics, Physics, Engineering, Computer science) 2-5 years’ experience in model development, independent model validation or model risk audit Model risk management knowledge, including model risk governance, model development, implementation, testing and change management, model validation Team-oriented with a strong sense of ownership and accountability Strong leadership, interpersonal and relationship management skills Strong verbal and written communication skills and presentation skills (PowerPoint, Visio, etc.) Highly motivated with the ability to multi-task and remain organized in a fast-paced environment Preferred Qualifications Experience within the financial services industry is a plus. Knowledge of financial modeling concepts, including (any combination): ▪ Options pricing, credit default, structured products, econometrics, stress scenario creation ▪ Any combination of risk management disciplines: credit risk, market risk, operational risk, funding / liquidity risk Programming experience in quantitative and object Your Career Goldman Sachs is a meritocracy where you will be given all the tools to help you develop. At Goldman Sachs, you will have access to excellent training programs designed to improve multiple facets of your skills portfolio. Our in-house training program, ‘Goldman Sachs University’ offers a comprehensive series of courses that you will have access to as your career progresses. Goldman Sachs University has an impressive catalogue of courses which span technical, business and leadership skills training. About GS The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments, and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world. Show more Show less

CCB-Risk- Card Data Science & Capabilities- Associate JP Morgan Chase (NYSE JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the worlds most prominent corporate, institutional and government clients under its J. P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http//www. jpmorganchase. com/ . Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others. Join our Model Insights Team , a Center of Excellence within Consumer & Community Banking (CCB) Risk Modeling, committed to tracking of comprehensive health of machine learning models. We are responsible for sanity of model inputs and score performance tracking for CCB risk decision models. Team collaborates with model developers to identify and recommend potential opportunities for model calibration. We are constantly seeking for opportunities to enhance model performance tracking framework, with aim of providing feedback loop to risk strategies. We are seeking candidates who possess extensive knowledge of data science techniques, appreciation for data combined with of domain expertise, and a keen eye for detail and logic. It s an opportunity to make an impact to model performance monitoring and governance practices for CCB risk models. Job Responsibilities - Applied AI/ML Associate Drive synergy in model performance tracking across different sub-lines of business. Enhance model performance framework to holistically capture model health, providing actionable insights to model users. Collaborate with model developers to identify potential opportunities for model calibration and conduct preliminary Root Cause Analysis in case of model performance decay. Design and build robust framework to monitor quality of model inputs. Explore opportunities to drive efficiency in model inputs and performance tracking through use of Large Language Model (LLM). Partner with teams across, Risk, Technology, Data Governance, and Control to support effective model performance management and insights. Deliver regular updates on model health to senior leadership of risk organization and the first line of defense. Required qualifications, capabilities, and skills Advanced degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics, Physics, or a related quantitative field. Proficiency in programming languages such as Python, PySpark, and SQL, along with familiarity with cloud services like AWS SageMaker and Amazon EMR. Deep understanding of advanced machine learning algorithms (e. g. Decision Trees, Random Forest, XGBoost, Neural Networks, Clustering etc) Strong conceptual understanding of performance metrics used to monitor health of machine learning models. Fundamental understanding of the consumer lending business and risk management practices. Experience of working with large datasets with strong ability to analyze, interpret, and derive insights from data. Advanced problem-solving and analytical skills, with a keen attention to detail. Excellent communication skills, with the ability to convey complex information clearly and effectively to senior management. Preferred qualifications, capabilities, and skills 3+ years of experience in developing and managing predictive risk models in financial industry. Experience of data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). Proven expertise in designing, building, and deploying production-quality machine learning models. Ability to effectively collaborate with multiple stakeholders on projects of strategic importance, ensuring alignment and successful outcomes. Basic level of proficiency in Tableau

Location Name: Pune Corporate Office - HO Job Purpose “This position is open with Bajaj Finance ltd.” Duties And Responsibilities This role is for NLP and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills. Technical Interactions with vendor or partners in technical capacity for business/capability deliverables. Develops proof of concept to prove or disprove validity of concept. Work with cross functional team to integrate these models into larger solutions. Works collaboratively in a multi-disciplinary team environment; Establishes and maintains professional networks with subject matter experts. Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML. Design competitive AI/ML services and user experience for next generation products and create prototypes for demonstration. Strong empowerment and self-drive is a must. Required Qualifications And Experience PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field 6+ years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive analytics solution development and deployment Strong Problem-solving ability Should have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services. Experience in using Python, R, SAS or any other statistical software (plus other open source libraries) skills with Shell/Perl (or similar scripting language), Scala and Java Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc. Experience with web application server like Tomcat, Jetty, JBoss etc. Strong understanding of OOP design patterns and industry best practices. Fair knowledge of scripting and working in Linux environment Good to have Experience of building Solutions with latest front-end technologies (JavaScript libraries like React or Angular, CSS3, HTML5). Hands-on experience of API Integration single-sign -on and token-based authentication. Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB) Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment Experience in any of the following area could be plus: Lucene based search engines (Elasticsearch, Solr) Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark) Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications Strong communication and data presentation skills Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms. Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is preferred Solid knowledge in deep learning algorithms and AI system design and architecture. Strong hands-on nature (ability to self-code is a must). Strong capability to work on server class (cloud machines) for data science capability builds Strong IT & Business interactions capability Strong team player with exceptional program management. Show more Show less

Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive. This role is based in India and as such all normal working days must be carried out in India. Job Description Join us as a Desk Strategy Associate We’re looking for someone with an economics background to join our Trading & Flow Sales business You’ll be developing strategies to enhance trading or sales opportunities for the business This is a high profile role that offers considerable exposure as well as the opportunity to make a significant impact We're offering this role at associate level What you'll do This key role will see you building economic forecasting models and performing statistical analysis of economic data using time series techniques. As such, you’ll be analysing market related data, trends and events, and formulating trade ideas or investment opportunities. You’ll also be: Assisting with internal and external client requests Tracking macroeconomic data releases and drafting global economic insights for indicators Conducting macroeconomic indicator analysis for the relevant teams Ensuring customer satisfaction by delivering your work on time and to the highest quality Managing projects and initiatives to improve processes The skills you'll need To join us in this role, you’ll need to hold an MA in Economics or an MSc in Econometrics. You’ll have experience in a research oriented role across economies, together with the ability to summarise and analyse complex data and topics. In addition, you’ll bring: Working knowledge of databases such as REviews, Matlab and SAS Good communication and presentation skills Knowledge of databases such as Bloomberg, Haver and CEIC Expertise in Microsoft Office applications Show more Show less

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments. Show more Show less

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

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

Designation: TM - Market Research/TL - Market Research Research Archetypes Responsibilities Business process outsourcing research/analysis Company due diligence Competitive intelligence and profiling Market-entry strategy (GTM) Industry research/analysis Technology research/analysis Gen AI, Automation and digitization research/analysis Deal Analysis BD Research Location Intelligence Relationship Mapping Business Research Automation This role will be part of a team that is focused on creating high-value, actionable research output that works towards growing Cognizant IOA (BPS). In addition, the Associate will manage/mentor other research analysts and interact directly with BU leadership as required and appropriate. Shape The Future With Your Research Expertise Are you a highly motivated research leader with a passion for uncovering insights and driving strategic decisions? We are looking for a seasoned Research Professional with a strong academic foundation and proven industry experience to make a significant impact on our organization. Your Impact As a key member of our team, you will be empowered to: Develop innovative research ideas and translate them into actionable insights. Formulate and rigorously validate hypotheses using diverse analytical techniques. Analyze complex quantitative and qualitative data to extract meaningful conclusions. Synthesize findings into clear, concise reports and deliver compelling presentations to stakeholders. Leverage established research methodologies (including in-depth financial analysis, case studies, and econometrics) to directly support business strategy. What We're Looking For An MBA from a recognized institution. 6-11 years of progressive experience in a research-intensive environment. Experience within KPO/BPO or consulting sectors is a significant advantage. Demonstrated ability to work independently, manage time effectively under pressure, and take initiative. Strong analytical acumen, proficiency in Gen AI Research tools, MS Excel, PowerPoint, and financial analysis. Exceptional written and verbal communication skills, with the ability to build strong interpersonal relationships. A deep-seated interest in the power of research to drive business success. Stand Out With Experience in leading, managing, or mentoring teams. Familiarity with data visualization tools like Tableau and statistical tools like R. Exposure to leading industry research databases (HFS, Everest, Nelson Hall, ISG, Gartner, FactSet, IDC, Alpha Sense and similar). Show more Show less

Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done. We are responsible for collaborative work management products including Microsoft Project, Planner, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Principal Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will review business and product requirements, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Other Requirements Candidates must be able to meet Microsoft, customer and/or government security screening requirements that are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, as part of a product team. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. #agentic #llm Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Highlight of the engagement opportunity Nature of role: Full time Number of years of experience expected: 0-2+ years Areas of past experience preferred: Quantitative modelling, ERM, Risk modelling & management, time series modelling, regression analysis, quantitative analysis and actuarial modelling Educational qualification expected: Pursuing graduation / Graduate/ Postgraduate Additional qualifications/ certifications required: None Minimum actuarial papers: 3-8 actuarial exams cleared / Actuary certifications / degrees Preferred geography of previous work experience: India / Europe / APAC / US Language requirements: Ability to write and speak fluently in English Application experience preferable: MS Excel, Python, C++, MSSQL Key responsibility areas: Develop end to end functionalities for modelling macro-economic factors and market prices like Interest rate, Credit Spread, FX, Commodities and Volatility. Adhere to development standards and protocols mandated by product organization. Drive the day-to-day execution of assigned client projects. Staying informed of latest developments in web applications and programming languages. Opportunity to work across risk functions like market risk for the banking and financial industry, and monitoring of investment fund performance using automation Develop stress testing models for financial risks Design and build solutions on Basel Pillar I and Pillar II modelling on proprietary platform Configure Pillar III disclosure reports for ICAAP and Risk appetite reporting Demonstrate functional understanding and interface with clientele during engagements. Conduct training sessions for end-users on the use of the Application and provide comprehensive documentation for ongoing reference. Perform financial analysis and risk modelling using analytical tools like python. Ability to analyze functional areas of a business and derive underlying risks for the business area Construct model documents to concisely communicate model methodology, assumptions and results along with governance and mitigations for the risk area. Participate in peer-review sessions for constructed risk models. Effectively communicate results and conclusions using PowerPoint. Clear communication skills to drive day to day client management and highlight key project risk areas to the team. Lead and drive day-to-day execution of assigned client project streams. Other important information: Work permit requirements: Either Indian Citizen or having valid work permit to work in India Period of engagement: Full-time position Probation period: 6 months Compensation: Compensation varies depending on the skill, fitment and role played by the person. Compensation discussions will take place post the selection process. Leave: 22 working days a year. Additional leaves for national holidays, sick leaves, maternity and paternity, bereavement and studies vary based on the city and country of engagement. Other benefits: Other employment benefits including medical insurance will be informed during the compensation discussion. Career growth for full-time roles: Acies believes in a transparent and data-based performance evaluation system. You are encouraged to clarify any questions you have with respect to career growth with Acies personnel you interact with during the selection process. Selection process: We seek to be transparent during the selection process. While the actual process may vary from the process indicated below, the key steps involved are as follows: Interview: There are expected to be at least 2-3 rounds of interviews. The number of interview rounds may increase depending on the criticality and seniority of the role involved. Final discussion on career and compensation: Post final selection, a separate discussion will be set up to discuss compensation and career growth. You are encouraged to seek any clarifications you have during this discussion. Preparation required: It is recommended that you prepare on the following aspects before the selection process: Demonstrate knowledge of Banking risks and quantification Demonstrate knowledge of Basel accords on Banking risk management Demonstrate proficiency in financial instrument valuation and risk assessment Demonstrate proficiency in statistical, econometrics and time series analysis Demonstrate proficiency in analytical coding languages like Python Understanding of products / exposures in the financial services industry (Banks / NBFC / Insurance) Requirements of Basel III, FRTB and ALM regulations for Banks. Knowledge requirements on various risk quantification models such as Linear regression and VaR Basic knowledge on a financial institution’s credit process, ALM process and treasury process to be able to effectively understand the risk areas for them. Financial statement analysis, balance sheet ratios Knowledge and understanding about capital adequacy, stress testing, behavioural modelling etc. For any additional queries you may have, you can send a LinkedIn InMail to us, connect with us at https://www.acies.consulting/contact-us.php or e-mail us at careers@acies.consulting. How to reach us: Should you wish to apply for this job, please reach out to us directly through LinkedIn or apply on our website career page - https://www.acies.consulting/careers-apply.html Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Architecture Management Level Senior Associate Job Description & Summary PwC is one of the most prestigious professional services firm in the world, serving as the auditor to nearly half of the world’s largest banks. PwC US Risk and Regulatory (R&R) comprises of a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and driver of, industry leading practices and has deep knowledge of regulatory expectations. R&R professional’s experience covers all financial model types, including those used to manage credit risk, market risk, operational risk and compliance risk—as well as those used for financial reporting, valuations and economic capital estimation. Risk Analytics Center of Excellence (CoE) is the India extension of R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. It comprises of risk analytics professionals with stellar quantitative pedigree from premier institutions, industry certifications in CFA, FRM, PRM etc. and proven professional credentials in risk modeling and analytics at reputed financial institutions and consulting firms. As an integral part of PwC US R&R, Risk Analytics CoE drives risk analytics engagements, opportunity pursuits and cutting-edge innovation using data science, Artificial Intelligence, Machine Learning and Deep Learning. Fraud/AML Risk Analytics Professional Job Specification Candidate would be responsible for developing, validating, auditing and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level 3-6 years of experience; Location: Bangalore Core Skill Requirements Candidate must have relevant experience in Machine Learning/Artificial Intelligence, Natural Language Programming, Statistical / Mathematical modeling, quantitative research, Fraud/AML risk management, or related Credit Risk field at a reputed bank, fintech, or a consulting firm. Wider skill requirements include: Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. AML Scenario development, enhancement. Initial threshold setting and tuning. Proficiency in one or more analytical tools such Python, PY Spark, Data Science and cloud-based analytics etc. Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant) Business knowledge in transaction monitoring system, sanction screening, trade surveillance. Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities. Strengthen AML knowledge, Process Governance & Controls. Support Regulatory exams, Internal Audit, Compliance Assurance test, Self-identified issues / findings. Identify, assess, actively manage and control the risks that could come from our business, operational and organizational decisions. Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm Utilize traditional statistical analytics, graph theory / network science, ensemble methods and the like Natural language processing, text analytics, factors analysis / construct development and testing, machine learning feature development and engineering, etc. Prior experience in domains like AML/ Financial Crime analytics and strong knowledge of fraud data analysis and development, strategy design and delivery deployment. Non-functional Skill Requirements In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement For Senior Positions Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date August 23, 2024 Show more Show less

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 Show more Show less