405 Econometrics Jobs - Page 4

The FICC Quant Developer should possess a robust understanding of Fixed Income, particularly in pricing calculations. The ideal candidate should be proficient in Python or other relevant programming languages and have experience in developing fixed income pricing models or calculations engines. Key Responsibilities Developing Fixed Income pricing/valuation and analytics models using statistical techniques Interacting with the trading and client senior technology team to analyze and understand their requirements Back testing models Working on implementing models on client calculation platforms; understanding of data quality nuances and ability to design rules around it Handle ad hoc requests for data analysis or building peripheral models. Experience Postgraduate in Economics/Financial Engineering/Maths/Physics, at least 8+ years of work exp. Proficient in econometrics, with prior experience in quantitative modeling specifically in Fixed Income Good understanding of Fixed income as an asset class, pricing and valuation and other analytics Coding skills: Python/C#/C++ etc. (advanced level) Having a good knowledge of databases preferably third-party providers like Bloomberg Advanced Excel/VBA and quantitative skills: Ability to work with and analyse large set of data and information. Excellent communication and interpersonal skills High level of independent thinking and approach Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

About the Role: Wells Fargo is seeking a Lead Risk analytics consultant. The Consumer Credit team is responsible for leading, developing and implementing strategic initiatives and processes to drive the company credit culture, appetite, and business performance. The team is seeking a talented and experienced Lead Risk Consultant to be part of the Auto Lending Credit Risk team. The candidate would be part of the Auto Lending Analytics team and would provide analytical support across a wide array of process or life cycle including but not limited to originations, collections, payments, deferrals, delinquency and related operational processes. Primary role is to apply strong business knowledge and advanced analytical skills to solve business questions, think out-side-of-the-box and develop innovative yet practical risk management solutions. An individual who is results driven, goal oriented, and enjoys a fast-paced working environment will find this opportunity both challenging and exciting. In this role, you will: Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals Lead projects, teams, and mentor Required Qualifications: 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Bachelor's degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences 5+ years of progressive experience in credit and risk analytic roles Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management Detailed understanding of risk domain; Strong Risk analytics skills and understanding of P&L and risk drivers. Expertise in few programming and statistical packages - SAS, SQL, Excel, VBA, Macros, R, Python, E-miner, Tableau, SAS VA Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques Ability to lead project teams and coordinate with multiple stakeholders. Strong understanding and willingness to work hands on, using exploratory techniques which can sometimes involve advanced statistics. Excellent communication skills for interaction/coordination/project and skill prioritization with heads of functions Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution Advanced degree in statistics/finance /engineering/economics/other quantitative disciplines Knowledge and understanding of (consumer and small business loan) credit card lending practices, policies, procedures, and key drivers impacting credit offerings, including credit risks and regulatory requirements Strong analytical skills with ability to turn findings into executable plans to meet business objectives Ability to contribute to strategic decisions and coordinate with multiple stakeholders. Develop consensus and gain buy-in for strategic priorities Proficiency in Advanced SAS,SAS macros and SQL; Tableau or BI/automation tools Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Strong ability to develop partnerships and collaborate with other business and functional area Job Expectations: The incumbent would functionally contribute as an SME to the Auto Lending Credit Risk team and execute relatively large and complex projects with moderate to high risk for the line of business. Leads significant initiatives and processes, and partners with line of business management to drive the company credit culture, appetite, and business performance with inputs from senior leadership. Advises and counsels leadership. Directs and coordinates the various activities related to assessing and predicting risk and performance through business analysis and/or modeling. Establishes effective policies, processes, and tools to identify and manage risks. Uses predictive sciences for developing future ready solutions. Develops comprehensive monitoring frameworks and dashboards and provide statistically sound diagnostic evaluation of any emerging or unexpected risk areas to enhance intelligence and facilitate faster decision making. Reports on asset quality (delinquency, loss rate), portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, industry segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics. Develops quantitative/qualitative tools and methodologies for forecasting losses in supporting portfolio planning, loan loss provisioning, or new account acquisitions. Develop, maintain, and enhance the complex programming to extract data and/or manipulate databases such as Oracle, Teradata to support LOB strategy. Perform complex data analysis to support data quality, data integrity control. Evaluate new data sources and attributes, internal and external from extensive case reviews. Analyze big data and understand / monitor trends to provide actionable insights across a range of risk analytics initiatives. Lead project teams and may mentor but does not manage other team members. To be effective in this position, you will need an excellent understanding of credit risk, a broad and strategic perspective on risk management, and be fluent in key technical tools of credit risk decisioning. Posting End Date: 25 Jun 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Senior Data Scientist Hyderabad, Telangana, India Date posted Jun 19, 2025 Job number 1823535 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe. Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. AI powered Copilots has made the future to be the current reality. We are looking for candidates who can help build the next generation Machine Learning system. Candidates are expected to be hands on and experienced on data mining, ranking, clustering, recommendation systems. As a Senior Data Scientist in the team, you will be working independently on challenging problems, define/measure success metrics for them, as well as contribute towards Design Reviews, ML/Data pipeline reviews for the whole team. 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. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines A minimum of Bachelor’s degree in Computer Science or related field Prior work/research experience in Search domain is preferable Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements 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: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, #M365CORE Responsibilities End to end ranking of search results. Large Language Models. AI powered Copilot scenarios. Compliance and Privacy aware Machine Learning training pipelines at scale. Personalization of search results. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. 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.

Company Description CrystalVoxx Global LLP is a healthcare econometrics company offering integrated healthcare solutions, including Medical Billing and Coding Services for individual and group practices. With a focus on healthy revenue cycles and financial performance improvement, CrystalVoxx provides services such as Provider Insurance Credentialing, Claims Scrubbing, Payment Posting, AR Recovery & Denial Management, and more. The company utilizes a unique process workflow, smarter analytics, and technology to ensure no money is left uncollected. Role Description This is a full-time on-site role for an AR Caller at CrystalVoxx Global LLP located in Ahmedabad. The AR Caller will be responsible for following up on unpaid claims, rebilling, sending appeals through fax or mail, and reprocessing claims through phone. The role involves proactive revenue cycle management to ensure financial success for healthcare practices. Qualifications Experience in Accounts Receivable and Healthcare Billing Knowledge of Provider Insurance Credentialing and Denial Management Proficiency in ERA & EFT Enrollment and Payment Posting Strong communication and interpersonal skills Attention to detail and ability to work in a fast-paced environment Experience with Clearing House Rejections and AR Recovery Bachelor's degree in Healthcare Administration or related field is a plus Show more Show less

Location - Gurgaon/Noida/Pune Job Responsibilities: · Responsible for collecting all in- scope Business requirements in an insurance process · Elicit, analyse, specify, validate, and verify the logic breakdown for "To Be" State of Business Solution · Ability to perform detailed analysis of existing systems/processes to ensure all aspects of the Business Solution requirements are understood & mapped · Able to prioritize requirements and negotiate on MVP on behalf of the technical team · Capable of managing all non- technical aspects of the new requirements · Able to map and formalize business requirements, ready for two way communication between Business and technical channels to normalise a Workable solution " · Experience in capturing details and documenting PRD, BRD, FSD details for creating the Solution Story overview · Capable of working with the Business overview to create User Stories and testing scenarios · Able to create a data mapping document between source and target systems · Experience in Systems Gap Analysis & Wireframing of Solution experience. SQL experience required/ P&C Insurance experience required. Qualifications: Bachelor’s degree (BBA, BCA, BE, B-Tech) with 9-12 Years of Experience MBA, Economics/Econometrics MA, MBE (DU), & Similar Masters desirable Insurance Qualifications, viz. FII, CPCU, CII, ARM - highly preferred Show more Show less

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities ● Responsible for overseeing the data scientists team and data specialists ● Teach, lead, and counsel colleagues on new techniques or solutions ● Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem ● Responsible for the conception, planning, and prioritizing of data projects ● Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques ● Ensure that data projects align with organizational goals Minimum Qualification ● Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field ● 3+ years of experience solving analytical problems using quantitative approaches ● Experience communicating quantitative analysis results ● Knowledge with relational databases and SQL ● Development experience in any scripting language (PHP, Python, Perl, etc.) ● Knowledge of statistics (e.g., hypothesis testing, regressions) ● Experience manipulating data sets through statistical software (ex. R, SAS) or other methods Technical Skills - Must have – ● Programming – Python (Preferred) / R ● ML Models – i. Regression – Linear, Logistic, Multinomial, Mixed effect ● Classification – Bagging & Boosting (Random Forest), Decision tree, SVM ● Clustering – K-Means, hierarchical, DB-Scan ● Time series – ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM ● Neural Networks (Deep learning), Naive Bayes ● Excel and SQL ● Dimensionality Reduction – PCA, SVD etc. ● Optimization Techniques – Linear programming, Gradient Descent, Genetic Algorithm ● Cloud – Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud Good to have – ● Visualization – Tableau / Power BI / Looker / QlikView ● Data management – HDFS, Spark, Advanced Excel ● Agile Tools – Azure DevOps, JIRA ● Pyspark ● Big Data/Hive Database ● IDE: Pycharm Show more Show less

Senior Data Scientist Hyderabad, Telangana, India Date posted Jun 19, 2025 Job number 1823535 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe. Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. AI powered Copilots has made the future to be the current reality. We are looking for candidates who can help build the next generation Machine Learning system. Candidates are expected to be hands on and experienced on data mining, ranking, clustering, recommendation systems. As a Senior Data Scientist in the team, you will be working independently on challenging problems, define/measure success metrics for them, as well as contribute towards Design Reviews, ML/Data pipeline reviews for the whole team. 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. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines A minimum of Bachelor’s degree in Computer Science or related field Prior work/research experience in Search domain is preferable Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements 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: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, #M365CORE Responsibilities End to end ranking of search results. Large Language Models. AI powered Copilot scenarios. Compliance and Privacy aware Machine Learning training pipelines at scale. Personalization of search results. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. 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.

Quant Analyst (Position # #3001_QA_FI_APAC ) Location Gurugram, India Share Position Summary We are seeking a highly motivated and analytical Quant Analyst to join Futures First. The role involves supporting development and execution of quantitative strategies across financial markets. Job Profile Statistical Arbitrage & Strategy Development Design and implement pairs, mean-reversion, and relative value strategies in fixed income (govvies, corporate bonds, IRS). Apply cointegration tests (Engle-Granger, Johansen), Kalman filters, and machine learning techniques for signal generation. Optimize execution using transaction cost analysis (TCA). Correlation & Volatility Analysis Model dynamic correlations between bonds, rates, and macro variables using PCA, copulas, and rolling regressions. Forecast yield curve volatility using GARCH, stochastic volatility models, and implied-vol surfaces for swaptions. Identify regime shifts (e.g., monetary policy impacts) and adjust strategies accordingly. Seasonality & Pattern Recognition Analyse calendar effects (quarter-end rebalancing, liquidity patterns) in sovereign bond futures and repo markets. Develop time-series models (SARIMA, Fourier transforms) to detect cyclical trends. Back testing & Automation Build Python-based back testing frameworks (Backtrader, Qlib) to validate strategies. Automate Excel-based reporting (VBA, xlwings) for P&L attribution and risk dashboards. Integrate Bloomberg/Refinitiv APIs for real-time data feeds. Requirements Education Qualifications B.Tech Work Experience 0-3 years Skill Set Must have: Strong grasp of probability theory, stochastic calculus (Ito s Lemma, SDEs), and time-series econometrics (ARIMA, VAR, GARCH). Must have: Expertise in linear algebra (PCA, eigenvalue decomposition), numerical methods (Monte Carlo, PDE solvers), and optimization techniques. Preferred: Knowledge of Bayesian statistics, Markov Chain Monte Carlo (MCMC), and machine learning (supervised/unsupervised learning) Libraries: NumPy, Pandas, statsmodels, scikit-learn, arch (GARCH models). Back testing: Backtrader, Zipline, or custom event-driven frameworks. Data handling: SQL, Dask (for large datasets). Power Query, pivot tables, Bloomberg Excel functions (BDP, BDH). VBA scripting for various tools and automation. Experience with C++/Java (low-latency systems), QuantLib (fixed income pricing), or R (statistical l). Yield curve modelling (Nelson-Siegel, Svensson), duration/convexity, OIS pricing. Credit spreads, CDS pricing, and bond-CDS basis arbitrage. Familiarity with VaR, CVaR, stress testing, and liquidity risk metrics. Understanding of CCIL, NDS-OM (Indian market infrastructure). Ability to translate intuition and patterns into quant models. Strong problem-solving and communication skills (must explain complex models to non-quants). Comfortable working in a fast-paced work environment. Location: Gurugram, Work hours will be aligned to APAC Markets.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global commercial analytics capability of Pricing Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets. Key tasks & accountabilities Preferred industry exposure CPG, Consulting with 3+ years (in case of consulting the typical profile would be of a Lead consultant with relevant experience mentioned in the point below) Experience of working in the domain of Pricing Analytics Analytics preferred (assessment of the pillars to be made on the past companies of the candidate) “preferably in a CPG organization” with a demonstrated capability of successfully deploying analytics solutions and products for internal or external clients. Has interacted with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning. Product building experience would be a plus. Has experience of working on data manipulation using tools such as excel, Python, SQL. Strong proficiency in Object-Oriented Programming (OOP) principles and design patterns. Good understanding of data structures and algorithms as they relate to machine learning tasks. Experience with version control tools such as Git. Familiarity with MLOPS and containerization tools like Docker would be plus. Consistently display an intent for problem solving Qualifications, Experience, Skills Level Of Educational Attainment Required B.Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA Previous Work Experience Minimum 3 years of relevant experience. Technical Skills required Technical Skills Required Hands-on experience in data manipulation using Excel, Python, SQL. Expert level proficiency in Python(knowledge of writing end-to-end ML or data pipelines in python) Proficient in application of ML concepts and optimizationtechniques to solve end-to-end business problems. Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform. Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to effectively communicate and present information at various levels of an organization Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers Show more Show less

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Function Description: American Express Global Commercial Services (GCS) is the Global leader in the Corporate Payments Solutions space and continues to be an exciting and fast-growing business. To maintain success, accelerating sales and driving profitable growth are critical to the organization. The Sales Enablement, Pricing and Transformation (SPT) team is critical in supporting these objectives. Our Incentive Capabilities team is focused on powering GCS growth through the provision of new products which will enable new pricing constructs, enhance client incentive user journey, enhanced visibility & insights to support Sales and Account Development colleagues across the globe. This position is fast-paced, critical decision oriented and requires a candidate who thrives on working in an energetic, client facing environment, excelling at building business partner relationships. Key Responsibilities: Generate specific corporate client reporting to support decision making and performance tracking. Translate needs of business owners/stakeholders and deliver on the Product roadmap. Responsible for automating reporting needs to improve efficiency, accuracy for stakeholders. Collaborate with cross-functional partners across various teams within American Express and capture requirements, benefits and drive a common future vision. Drive creation of end-to-end customer centric standard reporting that efficiently supports key partners and customers. Create innovative solutions that are cost-efficient and scalable across the enterprise. Work in close partnership with GSM, Controllership and Technology to deploy next generation client incentive capabilities, designed for long-term adaptability. Run ad-hoc analytics in support of the capability development and metric creation. Required Qualifications: Deep and broad expertise in data analysis, process automation with good understanding of client incentive process and systems Ability to build positive relationships, operate effectively within large cross-functional teams, and influence business partners to drive transformational change Ability to communicate and interact effectively with internal and external stakeholders at all levels Demonstrated ability to think outside the box and design industry leading solutions Understanding of Scaled Agile (SAFe) principles and experience effectively managing a backlog of competing initiatives desirable Experience on working with Cornerstone Data, SAS/SQL, Hive preferred Advanced degree in mathematics, statistics, engineering, computer science, econometrics, or another related field of study preferred. Preferred Qualifications MBA, Agile certification will be a plus We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Location Gurugram, India Share Position Summary We are seeking a highly motivated and analytical Quant Analyst to join Futures First. The role involves supporting development and execution of quantitative strategies across financial markets. Job Profile Statistical Arbitrage & Strategy Development Design and implement pairs, mean-reversion, and relative value strategies in fixed income (govvies, corporate bonds, IRS). Apply cointegration tests (Engle-Granger, Johansen), Kalman filters, and machine learning techniques for signal generation. Optimize execution using transaction cost analysis (TCA). Correlation & Volatility Analysis Model dynamic correlations between bonds, rates, and macro variables using PCA, copulas, and rolling regressions. Forecast yield curve volatility using GARCH, stochastic volatility models, and implied-vol surfaces for swaptions. Identify regime shifts (e.g., monetary policy impacts) and adjust strategies accordingly. Seasonality & Pattern Recognition Analyse calendar effects (quarter-end rebalancing, liquidity patterns) in sovereign bond futures and repo markets. Develop time-series models (SARIMA, Fourier transforms) to detect cyclical trends. Back testing & Automation Build Python-based back testing frameworks (Backtrader, Qlib) to validate strategies. Automate Excel-based reporting (VBA, xlwings) for P&L attribution and risk dashboards. Integrate Bloomberg/Refinitiv APIs for real-time data feeds. Requirements Education Qualifications B.Tech Work Experience 0-3 years Skill Set Must have: Strong grasp of probability theory, stochastic calculus (Ito’s Lemma, SDEs), and time-series econometrics (ARIMA, VAR, GARCH). Must have: Expertise in linear algebra (PCA, eigenvalue decomposition), numerical methods (Monte Carlo, PDE solvers), and optimization techniques. Preferred: Knowledge of Bayesian statistics, Markov Chain Monte Carlo (MCMC), and machine learning (supervised/unsupervised learning) Libraries: NumPy, Pandas, statsmodels, scikit-learn, arch (GARCH models). Back testing: Backtrader, Zipline, or custom event-driven frameworks. Data handling: SQL, Dask (for large datasets). Power Query, pivot tables, Bloomberg Excel functions (BDP, BDH). VBA scripting for various tools and automation. Experience with C++/Java (low-latency systems), QuantLib (fixed income pricing), or R (statistical l). Yield curve modelling (Nelson-Siegel, Svensson), duration/convexity, OIS pricing. Credit spreads, CDS pricing, and bond-CDS basis arbitrage. Familiarity with VaR, CVaR, stress testing, and liquidity risk metrics. Understanding of CCIL, NDS-OM (Indian market infrastructure). Ability to translate intuition and patterns into quant models. Strong problem-solving and communication skills (must explain complex models to non-quants). Comfortable working in a fast-paced work environment. Location: Gurugram, Work hours will be aligned to APAC Markets.

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work® in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. About Investment Research (IR): As a global leader in knowledge processes, research, and analytics, you’ll be working with a team that specializes in global market research, working with the top-rated investment research organizations, bulge bracket investment banks, and leading asset managers. We cater to 8 of the top 10 global banks, working alongside their product and sector teams, supporting them on deal origination, execution, valuation, and transaction advisory-related projects. What you will be doing a Evalueserve: Conduct in-depth macroeconomic research and analysis on Indian markets, including fiscal, monetary, and external sector developments. Track and interpret key economic indicators and policy announcements. Work with large datasets to generate insights and support the development of economic models and forecasts. Prepare research reports, presentations, and commentary on market developments for internal and external stakeholders. Maintain and update economic databases using tools such as Bloomberg, Haver, World Bank, CME, and official statistical sources (e.g., RBI, MOSPI). Collaborate with global research teams to contribute to cross-country and thematic research projects. What we are looking for: Advanced degree in Economics, Statistics, Engineering, or a related quantitative discipline. Minimum 2 years of relevant experience in macroeconomic or equity research, preferably focused on Indian markets. Strong quantitative and mathematical skills with demonstrated experience in handling large datasets. Proficiency in Excel and VBA; working knowledge of econometrics is essential. Familiarity with Python or R is a strong plus. Excellent written and verbal communication skills, with the ability to produce clear and concise research content. Experience with financial databases such as Bloomberg, Haver, and others is highly desirable. Progress toward CFA or FRM certification is an advantage. Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances Show more Show less

Job Description Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking an experienced leader with strong expertise in statistics, mathematics, econometrics, or a related field. You are a great fit if you have profound experience with consumer (panel) data and the methodologies related to it. About The Role Collaborative Environment: Work in an international team in a flexible and supportive setting Leave a footprint: We create a new Consumer methods team in India, and you will be there right from the start, leading it Methodology Enhancement: Evaluate and improve current methodologies, such as advanced validation routines, consumer models and projection techniques Research and Analysis: Develop new solutions for our Consumer product. Present and communicate findings and recommendations based on rigorous research and analysis to peers and senior stakeholders Coordination: Coordinate efforts across multiple teams and stakeholders About You You should possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage. You should have experience in hiring and leading a team of experts. Educational Background and experience: Master’s Degree or phd in Mathematics, Statistics, Socio-economics, Data Science, or a related field with a minimum of 5 years of relevant experience with at least 2 years experience of managing a team Statistical Expertise: Strong statistical and logical skills, with experience in outlier validation, sampling, bias reduction, indirect estimation, or data aggregation techniques Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets Programming Proficiency: Strong experience with Python or another high-level programming language, with a willingness to learn Python Continuous Learning: Eagerness to adopt and develop evolving technologies and tools. Curiosity to follow the newest research in the relevant fields and transfer to our products and business processes; potentially collaborate with academia. Passion for developing people and a strong performing team Communication and Collaboration: Strong communication, writing, and collaboration skills (English) Embark on this exciting journey to transform our panel measurement business and make a significant impact in the world of consumer analytics. Apply now to be a part of our innovative team! Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

India Foods Business is a full-service manufacturing and marketing unit comprising over 500 employees spread across over multiple locations across India. Our strong suite of products includes the Pillsbury, Betty Crocker, Haagen-Dazs and Nature Valley brands in both direct-to-consumer and B2B channels across Retail, Food Service and Bakeries & Exports. We combine the capabilities of a global enterprise with the entrepreneurial spirit and cultural awareness you would expect of a smaller local company. Overview Deliver a strategic actionable view of the external market to internal stakeholders, identifying growth opportunities and risks by connecting consumer behavioral insights and marketplace realities. Leveraging internal & external data (e.g., Nielsen, Kantar, Homescan, etc.) to provide insights at a Brand, category, and portfolio level – moving from diagnostic to prescriptive insights at speed. Managing relationships at all levels to deliver a strong strategic point of view and develop the OUs thinking and planning to enable growth. MAIN PURPOSE Support Insights Lead by leading the insights agenda to support GEMS Strategy. In this role, the incumbent supports the execution of all strategy, business, brand and innovation insights work for GEMS brands, for relevant markets. This role is a critical partner to esp. Marketing, Growth Analytics, ITQ, Commercial teams to ensure that the decisions we make and assets we develop are based on the needs and wants of consumers. Execute the overall Data Strategy, Reporting, Analysis and Debriefing Standards; all at multiple levels, i.e. Brand / Category/ Region / Market / Store. Key Accountabilities Support Insights agenda for the SP & 3OP imperatives; core growth & NPD across key markets Assist GEMS Insights Lead and prioritizations basis synthesis of all information across key tools and strategic consumer work Actively support the Innovation agenda for GMI brands by providing relevant insights to enable business & margin accretive innovations Build / evolve category demand spaces / growth terrains frameworks for the GMI Brands Drive qualitative & quantitative insights for the region through custom researches or Nielsen, External Market data, Brand Equity tracker, etc. Develop Foresight plans based on external data (Consumer Trends, Economic reports, Competitive reports, etc.) Building global alliances: Ability to communicate, collaborate and build relationships with all levels & functions. Along with the Insights, support innovation in analytics and promote growth modelling methodology development. Minimum Qualifications 09-10 years of experience in an consumer insights role (Agency or Client Side) Ability to communicate, collaborate, and build relationships. Ability to confront and resolve ambiguity through structured problem solving. Well versed in qual & quant research methodologies Ability to synthesize data to build and tell a consumer story. Excellent project management skills, particularly in terms of partnering with internal stakeholders and external agencies. Affinity for market intelligence and new tools & technologies in research domain Preferred Qualifications MBA or master’s Degrees related field – Marketing, Market research, General Management, Statistics, etc. Deep knowledge in variety of consumer data sources, including Nielsen & Kantar Panels and other data sources (Brand Equity/Health Tracks, Custom Research, Econometrics etc.) Proven track record in synthesizing learnings from multiple data sources, aligning multiple stakeholders to actionable strategic shifts and delivering recommendations to senior leaders in business. Comfortable presenting data/analysis to top management and addressing comments/questions on the fly. Strong analytic, communication and project management skills. Fluent in English spoken and written. Experience of working with global, regional, and local insights professionals a plus. Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next. Show more Show less

Company Description CrystalVoxx Global LLP is a healthcare econometrics company in Ahmedabad, providing integrated healthcare solutions including Medical Billing and Coding Services. With a focus on improving revenue cycle management, CrystalVoxx works with various specialties such as Chiropractic, Dental, Cardiology, and more. The company's process workflow, analytics, and technology ensure comprehensive revenue cycle management and financial performance improvement for healthcare practices. Role Description This is a full-time on-site role for a Senior AR Executive at CrystalVoxx Global LLP in Ahmedabad. The Senior AR Executive will be responsible for handling Accounts Receivable recovery, denial management, unpaid claims follow-up, reprocessing claims, and sending appeals. They will also work on bank reconciliation, payment posting, and clearing house rejections to ensure timely revenue collection and financial stability for healthcare practices. Qualifications Experience in Accounts Receivable recovery and denial management Knowledge of Medical Billing and Coding processes Attention to detail and accuracy in data entry Ability to work effectively in a team environment Proficiency in healthcare billing software and Microsoft Excel Excellent communication and negotiation skills Bachelor's degree Show more Show less

As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding. About The Role Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. Prototyping diverse machine learning models, from credit scoring to recommendation engine. Researching & Development on how to improve our models, by using our vast amount and unique set of data. Actively contribute to taking Data Science at Kredivo to the next level. About You Minimum of 5 years of hands-on experience in risk modeling within the financial services industry or other similar industries and at least 2 years experience in managing a team. Strong domain expertise and solid understanding of financial products, risk metrics, and regulatory requirements. Understand risk modeling best practices and capable of delivering end-to-end, robust and impactful data products. Proven track record of delivering high-quality data products in a fast-paced, dynamic environment. Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Strong communication skills with the ability to convey complex concepts to both technical and non-technical audiences. Bonus Points (optional) For Masters, PhD or equivalent experience in a quantitative field (i.e, Mathematics, Statistics, Econometrics, Artificial Intelligence, Physics). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). Show more Show less

Faculty Recruitment at O. P. Jindal Global University Fall 2025 Recruiting Directors, Professors, Associate Professors, Assistant Professors, Lecturers, and Assistant Lecturers for Five New Research Institutions Dr. L.m. Singhvi Centre for Constitutional & Parliamentary Studies K.k. Luthra & Nirmal Luthra Centre for Comparative Criminal Law & Criminal Justice Studies Cyril Shroff Centre for Ai, Law & Regulation M3m Centre for Real Estate Law, Policy & Regulation Motwani Jadeja Institute for American Studies JGU Vice Chancellor Delegation will be in the UK as per following schedule: London 29th - 30th JUNE & 4 JULY 2025 Cambridge 1st JULY 2025 nd Oxford 2nd - 3rd JULY 2025 Interested candidates are invited to submit their letter of interest along with the CVs to Raunak Ganderwal at rganderwal@jgu.edu.in or at | jgucareers@jgu.edu.in not later than June 24, 2025. APPLY in India's Global University Dr. L.M. Singhvi Centre for Constitutional & Parliamentary Studies Vision: To become India’s leading hub for research and dialogue on constitutional governance, parliamentary democracy, and institutional integrity. Positions: Professor / Associate Professor / Assistant Professor / Lecturer / Assistant Lecturer Ÿ Research Fellows (Postdoctoral / Doctoral) Ÿ Centre Director Qualifications: LL.M./Ph.D. in Constitutional Law, Political Science, Public Policy, or related fields. Strong expertise in public law as evidenced by excellent track record in publication. Cyril Shroff Centre for AI, Law & Regulation Vision: To lead research in the intersection of AI, law, ethics, and public policy. Positions: Professor / Associate Professor / Assistant Professor / Lecturer / Assistant Lecturer (Law & Technology) Research Scientists / Fellows (Law, AI, Ethics, Public Policy) Centre Director Qualifications: LL.M./Ph.D. in law and Computer Science, or AI ethics. Interdisciplinary research credentials are essential. The candidate should have excellent track record of publications. K.K. Luthra & Nirmal Luthra Centre for Comparative Criminal Law & Criminal Justice Studies Vision: To drive global thought leadership in criminal justice reform and human rights advocacy. Positions: Professor / Associate Professor / Assistant Professor / Lecturer / Assistant Lecturer Research Fellows / Clinical Law ExpertsExecutive Director Qualifications: LL.M./M.A./Ph.D. in Criminal Law, Criminology, or Human Rights. Expertise in Comparative Criminal Law as evidenced by high quality publications. M3M Centre for Real Estate Law, Policy & Regulation Vision: To pioneer legal and policy solutions for urban land, housing, and real estate governance. Positions: Professor / Associate Professor / Assistant Professor / Lecturer / Assistant Lecturer Senior Research Associates Executive Director Qualifications: LL.M./Ph.D. in Property Law, land regulation, housing policy, or Infrastructure Law. Experience with RERA or urban policy preferred. Motwani Jadeja Institute for American Studies Vision: To enhance academic and cultural understanding of the United States and strengthen Indo–U.S. relations. Positions: Professor / Associate Professor / Assistant Professor / Lecturer / Assistant Lecturer Visiting Fellows (US-based Scholars welcome) Ÿ Institute Director Qualifications: Ph.D./M.A. in American Studies, Political Science, International Relations, or related fields. Prior engagement with US-India issues is a strong preference. APPLICATION PROCESS Documents Required: Cover Letter indicating Centre and position of interest CV Statement of Research and Teaching Philosoph Three Letters of Reference vouching candidates’ strengths and suitability for the position. Samples of Scholarly Work, if applicable Deadline: Rolling applications. Review begins 24 June 2025. Early submissions encouraged. Why Join JGU? Globally engaged, Interdisciplinary Academic Environment Competitive Compensation & Research Support Inclusive, Diverse & Vibrant Campus Life Opportunities for making Policy Impact & International Collaborations O.P. Jindal Global University O.P. Jindal Global University (JGU) is a non-profit, multi-disciplinary and research oriented university founded in 2009. JGU was established as a philanthropic initiative of its Founding Chancellor, Mr. Naveen Jindal in memory of his father, Mr. O.P. Jindal. JGU has 16,000+ students, 1100+ full-time faculty members, and 2900+ administrative staff in its fully residential campus. JGU’s twelve schools focus on Law, Business & Management, International Affairs, Public Policy, Liberal Arts & Humanities, Journalism, Art & Architecture, Banking & Finance, Environment & Sustainability, Psychology & Counselling, Languages & Literature and Public Health & Human Development. Over the last decade, JGU has grown into an institution that brings full-time faculty from 50+ countries in the world, students from 75+ countries and has collaborated with 525+ leading institutions in 80+ countries which makes the learning experience truly international. JGU is ranked Number 1 in the world with the highest overall score amongst all universities and awarded ‘Gold’ by the Times Higher Education (THE) Online Learning Rankings 2024. JGU has been ranked as India’s Number 1 Private University for three years in a row by the prestigious QS World University Rankings 2023. JGU has been recognised among the Top 150 universities globally under the age of 50 years by the QS Young University Rankings. The Jindal Global Law School, has retained its number one rank in India for six consecutive years and remains the only Indian law school listed in the Global Top 100 by the QS World University Rankings by Subject 2025. Furthermore, JGU holds the distinction of being India’s top private university for Arts & Humanities and Politics & International Studies (within the Top 201-250 globally). It ranks among the top two private universities in India for Economics & Econometrics, among the top three private universities in India (Top 274 in the world) for Social Sciences & Management, and among the top six private universities in India for Business & Management Studies (Top 500 in the world) as per the QS World University Rankings by Subject 2025. In 2020, JGU was recognised as an ‘Institution of Eminence’ by the Ministry of Education, Government of India. Professor (Dr.) C. Raj Kumar Vice Chancellor O.P. Jindal Global University Professor Dr. C. Raj Kumar, a Rhodes Scholar was appointed as the Founding Vice Chancellor of O.P. Jindal Global University in India at the age of . Professor Kumar also serves as the Founding Dean of Jindal Global Law School JGLS and the Director of the International Institute for Higher Education Research Capacity Building IIHEd . Professor Kumar has academic qualifications from the University of Oxford, Harvard University, University of Hong Kong, University of Delhi and Loyola College. He obtained his Bachelor of Civil Law B.C.L. degree at the University of Oxford, UK. He was a Landon Gammon Fellow at the Harvard Law School, USA, where he obtained his Master of Laws LL.M. degree and a James Souverine Gallo Memorial Scholar at the Harvard University. He was awarded the Doctor of Legal Science S.J.D. by the University of Hong Kong. He also obtained a Bachelor of Laws LL.B. degree from the University of Delhi, India; and a Bachelor of Commerce B.Com. degree from the Loyola College of the University of Madras, India. Professor Kumars areas of specialisation include, human rights and development, terrorism and national security, corruption and governance, law and disaster management, comparative constitutional law and higher education. He has over two hundred and fifty publications to his credit including nine books and has published widely in journals and law reviews in Australia, Hong Kong, India, Japan and USA. Professor P. Ramanujam Dean Office of Academic Governance O.P. Jindal Global University Professor Ramanujam was awarded the Distinguished Asia Link Fellowship, sponsored by the European Union at Hamburg University Institute of Law and Economics, Germany and the National Law School of India University, Bangalore. He holds a Master of Laws LL.M. degree in Intellectual Property Rights from the University of East Anglia, UK, with a distinction. At the University of East Anglia, he was awarded the prestigious University of East Anglia International Scholarship, Norwich Law School Scholarship and was also adjudged the University of East Anglia Best International Applicant Award. He also holds a Master of Business Laws degree from the National Law School of India University, Bangalore and Bachelor of Law degree B.A.L., LL.B. from University Law College, Bangalore University. He served as Dean, IFIM Law School. He also contributed as a Chief Knowledge Officer at QS IGauge wherein he was responsible for the design and development of subject indicators to rate Universities and Colleges in India. As a Consulting Advisor working for LSAC Law School Admissions Council , USA, Professor Ramanujam was responsible for spearheading outreach and marketing efforts, which led to record registration for LSAT India exam takers plus leading to . YoY growth. He was instrumental in collaborating with coaching institutes, + schools and plus + principals across India. Show more Show less

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Function Description: American Express Global Commercial Services (GCS) is the Global leader in the Corporate Payments Solutions space and continues to be an exciting and fast-growing business. To maintain success, accelerating sales and driving profitable growth are critical to the organization. The Sales Enablement, Pricing and Transformation (SPT) team is critical in supporting these objectives. Our Incentive Capabilities team is focused on powering GCS growth through the provision of new products which will enable new pricing constructs, enhance client incentive user journey, enhanced visibility & insights to support Sales and Account Development colleagues across the globe. This position is fast-paced, critical decision oriented and requires a candidate who thrives on working in an energetic, client facing environment, excelling at building business partner relationships. Key Responsibilities: Generate specific corporate client reporting to support decision making and performance tracking. Translate needs of business owners/stakeholders and deliver on the Product roadmap. Responsible for automating reporting needs to improve efficiency, accuracy for stakeholders. Collaborate with cross-functional partners across various teams within American Express and capture requirements, benefits and drive a common future vision. Drive creation of end-to-end customer centric standard reporting that efficiently supports key partners and customers. Create innovative solutions that are cost-efficient and scalable across the enterprise. Work in close partnership with GSM, Controllership and Technology to deploy next generation client incentive capabilities, designed for long-term adaptability. Run ad-hoc analytics in support of the capability development and metric creation. Required Qualifications: Deep and broad expertise in data analysis, process automation with good understanding of client incentive process and systems Ability to build positive relationships, operate effectively within large cross-functional teams, and influence business partners to drive transformational change Ability to communicate and interact effectively with internal and external stakeholders at all levels Demonstrated ability to think outside the box and design industry leading solutions Understanding of Scaled Agile (SAFe) principles and experience effectively managing a backlog of competing initiatives desirable Experience on working with Cornerstone Data, SAS/SQL, Hive preferred Advanced degree in mathematics, statistics, engineering, computer science, econometrics, or another related field of study preferred. Preferred Qualifications MBA, Agile certification will be a plus We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

About SquadStack Careers 2025 SquadStack is a Saas-Enabled Talent Marketplace for Sales, and our vision is to provide access to skilled work for anyone, anywhere. We help consumer businesses that sell high-ticket products and services across various market segments (Brokerage, Lending, Insurance, E-Commerce & Edtech etc.) to improve their sales conversions and funnel efficiency. Candidates Also Search: Analyst Jobs SquadStack Careers 2025 Details Company Name SquadStack Job Role Business Analyst – I Job Type Full Time Job Location Noida Education BE/ B.Tech/ MBA Career Level 0 – 1 Years Salary Not Mentioned Company Website www.squadstack.com Job Description For SquadStack Careers 2025 Candidates Also Search: Fresher Jobs We are looking for a highly motivated and analytical individual to join our team as a Business Analyst – I . In this role, you will collaborate closely with our client success team to analyze business processes, gather requirements, and support data-driven decision-making for our organization. This position offers an excellent opportunity for someone with strong business acumen and a passion for data to advance their career in analytics. Responsibilities Track business KPIs and develop a deep understanding of the entire data funnel, identifying key opportunities for growth and optimization. Collaborate with diverse stakeholders during strategy development and implementation to identify and address data and analytical requirements. Empower internal and external stakeholders by making data features accessible Convert a business problem into a data problem and have an intuition of how it can be solved Identifying and resolving customer friction points by leveraging data-driven, scalable insights to influence outcomes. Leading independent discussions on planning, design, and execution of analytics with a variety of stakeholders. Adhering to structural processes and continually working on enhancing the work mix for the team. Streamlining and automating processes to minimize time spent on data management and reporting tasks. Responsible for influencing and driving strategic bets in the technology space leveraging Data and Analytics. Candidates Also Search: SQL Developer Jobs Requirements SQL, Python (basic to intermediate), Advanced Excel, PowerPoint skills, and an understanding of data warehouse architecture Experience with Metabase (or any other BI tool), ideally at a leading management consulting, financial services, or marketing company. Preferred understanding of inferential statistics & related methodologies – Distributions, Hypothesis Testing, Regression, Classification The candidate should have real-world problem-solving experience with large, complex datasets. They should be able to derive trends and patterns from the existing or derived datasets. Effective task owner who understands business problems and current business trends, responsible for improving financial and business performance. Basic understanding of business and financial terminologies Candidates Also Search: BE/ B.Tech Jobs Qualification Bachelor’s degree (B.Tech., B.E., B.S., or B.A.) in a quantitative field such as Engineering, Statistics, Applied Econometrics, Mathematics, Computer Science, or other related core sciences, or in Economics/Finance, combined with SQL and Python skills and 1-2 years of analytics experience across various functions. Alternatively, a master’s degree in a similar field or an MBA with 0-2 years of analytics experience and exposure to diverse functions is also suitable. The candidate should have a strong understanding of visualization techniques and excel at creating dashboards and storytelling for customer presentations. Additionally, you possess domain expertise in areas such as FinTech, EdTech, Logistics, or similar industries. Intellectual curiosity, passion for problem-solving, and comfort with ambiguity High energy and a desire to work in a results-oriented, fast-growth environment Ability to thrive in a cross-functional environment while juggling multiple responsibilities SquadStack Careers 2025 Application Process DOUBLE CLICK TO APPLY ONLINE ! We wish you the best of luck in your SquadStack Careers 2025 . May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work. Show more Show less

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: The Model Risk Senior Consultant will be responsible for performing consulting projects for a variety of financial services clients. This primarily includes consulting with clients about model risk management practices and providing model validation services, primarily for credit risk and treasury management (ALM)/finance related models. In addition, the role will also perform the following: Complete key aspects of client service projects from planning to completion. Become a trusted advisor to client management by providing appropriate recommendations and solutions. Able to make and sustain meaningful client relationships. Support proposal and business development activities by identifying new target clients, building business relationships with key executives, and developing and presenting proposals. Qualifications: Bachelor’s degree in Finance, Statistics, Financial Engineering, or Economics or equivalent combination of education and experience. 4+ years’ of experience of working in financial institutions, Big 4 or equivalent, or regulatory supervisory of financial institutions. Working knowledge of: Model risk management regulatory guidance (SR 11-7, OCC 2011-12, FDIC FIL-22-2017). Credit risk model types (e.g., CECL, PD/LGD, Roll Rate, Scorecards, Stress Testing, etc.). Other model types (e.g., Asset Liability Management, Pricing, Mortgage Servicing Rights, etc.). Direct experience performing model validations or model development, including concepts such as back testing, stress testing, sensitivity testing, and benchmarking. Technical knowledge about data processing, data storage, and data visualization. A self-starter who can prioritize multiple tasks, be resourceful and able to research and find solutions. Write and present to clients clear and concise reports and presentations containing meaningful recommendations. Direct and deliver significant engagements that deliver value to clients through project management, creation of deliverables and knowledge transfer. Manages engagement to ensure quality and is delivered within budget. Engagements are frequently conducted remotely. This position requires travel up to 30%. Additional skills desired: Solid analytical background and knowledge of econometrics. Knowledge of risk ratings, risk rating /scorecard methodology, model governance, model development, CECL, DFAST, CCAR and capital allocation methodology would be a plus. Experience with statistical packages such as SAS, Matlab, Stata, Python, and R. Experience with database management, such as SQL. Experience with data visualization tools such as Microsoft Power BI, Tableau, QlikView. Working towards or having professional certification preferred (e.g., RMA CRC, CFA, FRM). We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. Our Benefits: At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: Crowe Horwath IT Services Private Ltd. is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world. Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge. Show more Show less

Assistant Professor (Economics) Academic Level 10 Department of Humanities & Social Sciences, Anantapur Campus No. of Vacancies: 1 Advertisement No: SSSIHL/24-25/DHSS/ACA/052 Application Deadline: 15 June 2025 Employment Type: Full-time (Women applicants) Salary: Basic: 57,700 + Dearness Allowance (DA) & House Rent Allowance (HRA) as per Institute rules ( Higher qualifications and relevant experience will be considered ) ESSENTIAL QUALIFICATIONS & EXPERIENCE Ph.D. in Economics Master s degree in Economics with a Bachelor s degree in Economics specializing in Econometrics / Financial Economics / Quantitative Economics UGC NET/CSIR NET/SLET/SET qualified Good academic performance in relevant fields from a recognized University/Institute Proficiency in English and ability to mentor students effectively Commitment to SSSIHL s code of conduct and values-based integral education system Post-Doctoral experience is preferred Proof of independent research and Publications list may be provided KEY RESPONSIBILITIES Teaching and Academic Leadership Undergraduate and Postgraduate level Economics courses Economics Skill Enhancement (Lab) Courses Knowledge of Python / R / SQL / Power BI Enable experiential learning Research and Innovation Research focus in Development / Financial / Applied Economics Publications in high impact factor journals indexed in WoS / Scopus and others. Student Engagement and Mentorship Participation in curricular, co-curricular activities Student Mentorship Guidance for . qualification, NET/SLET/SET or other national level exams passed, teaching/professional experience, roles, and responsibilities in chronological order, list of research publications published in reputed UGC CARE journals and conference presentations & proceedings, list of research projects, significant achievements/recognitions, post-docs and research students guided, Areas of expertise and courses taught at UG/PG level, and at least two references (academic and/or professional) STEP 3 Scanned copies of all certificates/documents related to your educational qualifications and professional experience Note: Applicants desiring to apply for more than one position should submit separate applications for each. SSSIHL reserves the right to reject application forms that are incomplete and not as per specified requirements. SSSIHL reserves the right to call only the requisite number of candidates for an in-person demo and/or interview after shortlisting based on the candidate s suitability for the vacant position. There will be no personal communication with candidates other than those shortlisted for the interview. All applicants are required to ensure that all the information submitted (Resume, Annexure form,and documents) is accurate and correct for scrutiny If any application is found to contain information that is inaccurate or false either during the employment process or after the appointment of the candidate, SSSIHL reserves the right to reject the application at any stage or take stringent action on the employee as deemed suitable. Shortlisted applicants will be contacted for an interview.

Associate Professor (Economics) Academic Level 13A Sri Sathya Sai Institute of Higher Learning (SSSIHL) Associate Professor (Economics) Academic Level 13A Department of Humanities & Social Sciences, Anantapur Campus Advertisement No: SSSIHL/24-25/DHSS/ACA/053 15 June 2025 Full-time (Women applicants) Salary: Basic: 1,31,400 + Dearness Allowance (DA) & House Rent Allowance (HRA) as per Institute rules Higher qualifications and relevant experience will be considered ESSENTIAL QUALIFICATIONS & EXPERIENCE Ph.D. in Economics Master s degree in Economics Good academic track record in relevant fields from a recognized University/Institute UGC NET/CSIR NET/SLET/SET qualified Good track record of publications and completed research projects Proven expertise in Quantitative Methods / Econometrics / Financial Economics Proficiency in English and ability to mentor students effectively. Commitment to SSSIHL s code of conduct and values-based integral education system KEY RESPONSIBILITIES Teaching and Academic Leadership Undergraduate and Postgraduate level Economics courses and Financial & Applied Economics Electives Economics Skill Enhancement (Lab) Courses Knowledge of Python / R / SQL / Power BI Enable experiential learning Research and Innovation Research focus in Development / Financial / Applied Economics / Applied Econometrics Publications in high impact factor journals indexed in WoS / Scopus and others. Student Engagement and Mentorship Participation in curricular, co-curricular activities Guidance for student projects HOW TO APPLY SSSIHL/24-25/DHSS/ACA/053 STEP 2 Attach your detailed resume (must include details of Ph.D. qualification, NET/SLET/SET or other national level exams passed, teaching/professional experience, roles, and responsibilities in chronological order, list of research publications published in reputed UGC CARE journals and conference presentations & proceedings, list of research projects, significant achievements/recognitions, post-docs and research students guided, Areas of expertise and courses taught at UG/PG level, and at least two references (academic and/or professional) STEP 3 Scanned copies of all certificates/documents related to your educational qualifications and professional experience Applicants desiring to apply for more than one position should submit separate applications for each. SSSIHL reserves the right to reject application forms that are incomplete and not as per specified requirements. SSSIHL reserves the right to call only the requisite number of candidates for an in-person demo and/or interview after shortlisting based on the candidate s suitability for the vacant position. There will be no personal communication with candidates other than those shortlisted for the interview. All applicants are required to ensure that all the information submitted (Resume, Annexure form,and documents) is accurate and correct for scrutiny If any application is found to contain information that is inaccurate or false either during the employment process or after the appointment of the candidate, SSSIHL reserves the right to reject the application at any stage or take stringent action on the employee as deemed suitable.

FundRock is a Pan-European leading independent UCITS management company and AIFM (Alternative Investment Fund Manager). Our clients are established blue-chip companies and leaders in their domestic market. We invest in our people, enabling you to develop your skills and build on your experience. If you like the idea of working for an ambitious and growing company, as part of a multicultural team, we are the place for you. Job Specification Challenge and validate financial models for the valuation of complex exotic OTC derivatives and strategies (such as various types of swaps (dispersion, variance, correlation, CMS) or options/ option strategies (dual digital, dispersion, CMS, volatility straddle) private equity and venture debt investments. Regularly validate counterparty valuations for such complex financial derivatives and valuation recommendations or valuation reports for asset classes like private equity or venture capital under tight fund deadlines. Analyse events (corporate or other) with regards to valuation, such as restructurings or special market developments. Prepare the back testing for target fund investments and analyze deviations between the audited financial statement and the corresponding capital account statemen as part of the audit process. Prepare and present proposals for valuation decisions to the valuation committee including senior management. Monitor the fund s compliance with relevant laws, regulations and fund documentation. Build bridges to clients and external parties like auditors or valuation service providers and communicate internally with all levels of the company to effectively achieve goals and meet expectations. Contribute efficiently to new projects such as the onboarding of new clients. Skills Required At least 5 years of professional experience in a comparable role, eg in an asset management or a big4 company, corporate finance, deal or risk advisory. Background in a preferably quantitative discipline, eg masters in mathematics, physics, engineering, econometrics. Excellent understanding of mathematical finance and financial modelling skills. Very strong command of ICE/SuperD GUI to set up complex OTC derivatives, Refinitiv, Bloomberg including Bloomberg Pricers. Team spirit and communication skills including a critical mindset. Flexibility and ability to manage various tasks under tight deadlines. Excellent understanding of the regulatory, valuation and accounting environment in Luxembourg for alternative asset managers (eg AIFM Directive resp. CDR 231/2013, CSSF 18/698, IFRS, CSA Valuation). Strong command of Microsoft Excel and Word. English proficiency: additional languages, especially German, are considered an asset. As a vital team member and in return for your expertise, inclusive approach and commitment, well provide a favourable salary and the chance to join a passionate and welcoming team. Benefits As a truly global business, we tailor benefits to each location to safeguard our people and respect local cultures and ways of working. Our people are our greatest asset, and we invest in talent development. Join our global network, and you will benefit from education support, sponsorship and in-house training programs.

FundRock is a Pan-European leading independent UCITS management company and AIFM (Alternative Investment Fund Manager). Our clients are established blue-chip companies and leaders in their domestic market.We invest in our people, enabling you to develop your skills and build on your experience.If you like the idea of working for an ambitious and growing company, as part of a multicultural team, we are the place for you. JobSpecification ChallengeandvalidatefinancialmodelsforthevaluationofcomplexexoticOTCderivativesandstrategies(suchasvarioustypesofswaps(dispersion,variance,correlation,CMS)oroptions/optionstrategies(dualdigital,dispersion,CMS,volatilitystraddle)privateequityandventuredebtinvestments. Regularlyvalidatecounterpartyvaluationsforsuchcomplexfinancialderivativesandvaluationrecommendationsorvaluationreportsforassetclasseslikeprivateequityorventurecapitalundertightfunddeadlines. Analyseevents(corporateorother)withregardstovaluation,suchasrestructuringsorspecialmarketdevelopments. Preparethebacktestingfortargetfundinvestmentsandanalyzedeviationsbetweentheauditedfinancialstatementandthecorrespondingcapitalaccountstatemenaspartoftheauditprocess. Prepareandpresentproposalsforvaluationdecisionstothevaluationcommitteeincludingseniormanagement. Monitorthefundscompliancewithrelevantlaws,regulationsandfunddocumentation. Buildbridgestoclientsandexternalpartieslikeauditorsorvaluationserviceprovidersandcommunicateinternallywithalllevelsofthecompanytoeffectivelyachievegoalsandmeetexpectations. Contributeefficientlytonewprojectssuchastheonboardingofnewclients. SkillsRequired Atleast5yearsofprofessionalexperienceinacomparablerole,eginanassetmanagementorabig4company,corporatefinance,dealorriskadvisory. Backgroundinapreferablyquantitativediscipline,egmastersinmathematics,physics,engineering,econometrics. Excellentunderstandingofmathematicalfinanceandfinancialmodellingskills. VerystrongcommandofICE/SuperDGUItosetupcomplexOTCderivatives,Refinitiv,BloombergincludingBloombergPricers. Teamspiritandcommunicationskillsincludingacriticalmindset. Flexibilityandabilitytomanagevarioustasksundertightdeadlines. Excellentunderstandingoftheregulatory,valuationandaccountingenvironmentinLuxembourgforalternativeassetmanagers(egAIFMDirectiveresp.CDR231/2013,CSSF18/698,IFRS,CSAValuation). StrongcommandofMicrosoftExcelandWord. Englishproficiency:additionallanguages,especiallyGerman,areconsideredanasset. As a vital team member and in return for your expertise, inclusive approach and commitment, well provide a favourable salary and the chance to join a passionate and welcoming team. Benefits As a truly global business, we tailor benefits to each location to safeguard our people and respect local cultures and ways of working. Our people are our greatest asset, and we invest in talent development. Join our global network, and you will benefit from education support, sponsorship and in-house training programs. DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

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. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model 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. Job Title: Senior Manager, Data Science - Contact Centre as a Service (CCaaS) Position: Senior Manager (CCaaS) Industry: Digital Contact Solutions (DCS), Telecommunications-Media-Technology (TMT), Health Industries (Payers, Providers, Life Sciences), BFS&I, RTH. Domain: Data Science - Contact Centre as a Service (CCaaS) About Acceleration Center Bangalore At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities and for the world at large. It is no surprise therefore that 429 of 500 Fortune global companies engage with PwC. Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients.The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US. The team is focused on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics and vertical specific solutions. PwC's high-performance culture is based on passion for excellence with a focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your goals. We will also provide you with global leadership development frameworks and the latest in digital technologies to learn and excel in your career. At the core of our firm's philosophy is a simple construct: We care for our people. Globally PwC is ranked the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching and learning & development makes our firm one of the best places to work, learn and excel We are looking for CCaaS Development Manager with a strong Contact Centre Application Development & solution design background (and overall professional experience of 10+ years) to work in our Cloud & Digital practice in Mumbai, Bangalore. The Manager will work as an integral part of business analytics & transformation teams in India alongside clients and consultants in the U.S., being integral to high-end CCaaS consulting engagements, presales and development expertise. Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informatics Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Internal & External stakeholder management Forecast & define project milestones/timelines Familiar on estimation models (Fixed Bid, T&M) Familiarity with the CCaaS domain,CCaaS Application Development , contact center solution design. In-depth knowledge of CCaaS platforms like MS DCCP, Amazon Connect , NICECXOne, Genesys Cloud , Cisco Webex CC, Cisco HCS, UCCE/PCCE etc., including their architecture, functionalities, and application development, integration capabilities Governance & communication skills Hands-on configuration of CCaaS platform (MS DCCP, Amazon Connect/ Genesys Cloud/NICE CXOne) includes, Implementation of Contact Centre platforms Instance creation & setup Configuration Application Development CCaaS integration with CRM , ITSM & other host application SIP Trunking Understanding of the fundamental ingredients of enterprise integration including interface definitions and contracts; REST APIs or SOAP web services; SQL,MY SQL, Oracle , PostgreSQL , Dynamo DB, S3, RDS Provide effective real time demonstrations of CCaaS & AI (Bots) platforms Work on high volume presales consulting engagements including solution design document definition, commercial construct (CCaaS) High proficiency in defining top notch customer facing slides/presentations Proficiency in data visualization tools like Tableau, Power BI, Quicksight and others Nice To Have Experience in CPaaS platforms (Twilio, Infobip) for synergies between Communication Platform As A Service & Contact Center As a Service Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics Work on high velocity Presales solution consulting engagements (RFP, RFI, RFQ) Define industry specific use cases (BFS & I, Telecom, Retail, Manlog etc) Defining Business Case Roles And Responsibilities Stakeholder management Architectural design (CCaaS) CCaaS Application Development (Build & Deploy) Build CCaaS & Conversational AI demonstrations & Proof of Concepts to customers/prospects Develop and execute on project & analysis plans under the guidance of project manager Ability to write and deploy production ready code CI CD – Git Repo, Git labs, AWS Pipeline , Azure Devops (any of these) Validate analysis outcomes, recommendations with all stakeholders including the client team Governance & Steerco Collaborate with internal cross functional teams & leadership during sales , preslaes & delivery engagements Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities CCaaS Domain Expertise Understanding of the Contact Centre as a Service domain Proficiency with CCaaS platforms (Genesys Cloud, Amazon Connect, Cisco Webex CC, Cisco UCCE,PCCE, NICE CXOne, Calibrio, Verint, Genesys Engage) Stay up to date with industry trends, best practices, and emerging technologies related to CCaaS and conversational AI. Design & develop Omni-Channel customer experience solutions (Conversational IVR, Chat Bots, Messaging Bots(WhatsApp, Fb, X) , Voice Bots, Email, Chat & SMS Proficient with CCaaS platform features, license types Instance creation & setup of CCaaS platforms in PwC local lab environments, for production setup for customers Proficient in establishing and managing (CCaaS) communications via (VoIP) with SIP trunking Proficient in automating CCaaS deployments through telephony Continuous Integration/Continuous Deployment (CI/CD) practices and outreach strategies Knowledge to integrate telephony and computer systems in contact centers, leveraging Computer Telephony Integration Extensive knowledge of ACD (Automatic Call Distribution) systems Experience in IVR systems with automated menus and performing self-service actions Experience in call recording and quality monitoring Experience in Workforce Management (WFM) systems for optimizing contact center operations through call volume forecasting, agent scheduling, and schedule adherence monitoring(Genesys WFO, Verint WFO & Calabrio WFO) Proficiency in speech analytics, including sentiment analysis, keyword spotting, and voice biometrics Proficient in real-time analytics to track metrics, and make data-driven decisions on agent allocation, call routing, and service level management Expertise to integrate contact center system with CRM platforms Proficiency in API integrations between CCaaS platform with external systems Expertise in security and compliance standards for handling customer data handling Expertise in multi-channel communications to integrate voice, chat, email, and social media within the CCaaS environment Application integration between CCaaS platforms & Conversational AI platforms (Chat Bot, Messaging Bots & Voice Bots) for GET/POST of data Capability to design end to end CCaaS solution aspects including SIP , Network, CCaaS Application Development Local Telco approved, regulatory / compliant solution design (to deliver CCaaS solution to customers) Global SIP coverage across geos (TFN, ITFN, DID,UIFN) Understanding of networking terminologies in CCaaS (underlay,overlay design) MPLS,SDWAN/Internet Router (CPE) models, configurations BYOC , SBC/Media Gateways setup & configurations (Audiocodes, Ribbon, SONUS) What We Offer At PwC, we care for the mental & physical wellbeing of our people and respect the flexibility that is needed in these difficult times. Keeping these factors in mind, we have introduced policies around Work-from-Home. Anywhere and flexible working hours. Mid-year appraisal cycle to reward performance on time Opportunities to solve problems which matter to our clients and have a strong, long-lasting impacts Continuous learning and upskilling opportunities nurturing you to become a better leader and consultant of tomorrow. We provide you access to Massive Online Open Courses (MOOC) at no cost. A world class leadership to guide you on gaining expertise across various functions and a top notch diverse peer group to support you throughout the journey Interaction with the senior client leadership and a chance to meet them in person by visiting client locations (as needed) and/or permanent relocation Show more Show less