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Citi • Mumbai, Maharashtra, India
Role & seniority: Risk/Analytics role with 3+ years in financial services; post-graduate degree in quantitative discipline; emphasis on risk management and governance.
Stack/tools: SAS; Datacube/Essbase; MS Office (Excel, PowerPoint); experience with data handling, forecasting models, and automation.
Forecast losses and loan loss reserves; analyze model outputs for rational, logical results; reconcile data from disparate sources.
Present findings to manager, senior management, review/audit teams, and support regulatory reviews.
Ensure governance, documentation, and process automation for data, forecasting, and reporting; drive cross-functional collaboration.
Strong econometric/empirical forecasting model experience; data analysis and statistical thinking.
Understanding of risk management; familiarity with CCAR/Stress Testing concepts (CCAR knowledge a plus).
Ability to develop partnerships across business/functions; analytical thinking, governance, escalation management.
Experience with data science/machine learning and handling large datasets.
Prior CCAR/DFAST/stress testing experience; knowledge of credit card industry and related regulations.
Location & work type: Not specified in the statement.
Responsibilities include but are not limited to understanding the key drivers of losses and loan loss reserves, their relative importance and the current trends; apply this knowledge effectively to forecast losses / loan loss reserves meaningfully and accurately; analyze underlying model outputs relative to other business, ensure that the models provide rational and logical output, Reconcile detailed financial data from disparate data sources, be able to present the findings to their manager and various key stake-holders and senior management across the organization; hold meaningful discussions and present to various review and challenge and / or audit teams and assist with regulatory reviews; ensure best in class governance and documentation practices for these functions; drive process efficiencies through automation for the underlying data, forecasting and reporting processes Understands and appreciates diverse backgrounds. Demonstrates strong ethics Develops strong cross-functional relationships within and outside Risk Management Contributes to a positive work environment; shares knowledge and supports diversity 3+ years of work experience in financial services, business analytics or management consulting. Post graduate degree with specialization in a quantitative discipline: Statistics, Mathematics, Economics, Econometrics, Management, Operations Research or Engineering Understanding of risk management. Knowledge of credit card industry and key regulatory activities (CCAR) is a plus. Experience in CCAR / DFAST/Stress Testing is preferred. Strong understanding and hands-on experience with econometric and empirical forecasting models. Experience in data science / machine learning is preferred with ability to handle large datasets. Experience in using analytical packages like SAS, Datacube/Essbase, MS Office (Excel, PowerPoint) Vision and ability to provide innovative solutions to core business practices. Ability to develop partnerships across multiple business and functional areas. Ability and experience to drive changes in order to achieve business targets Displays flexibility to work well with varying personal styles Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------