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Regulatory Risk Model Development Analyst II

India, Haryana, Bengaluru · Job Posted March 04, 2026
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Job Description

Citi’s Risk Modeling Solutions department is responsible for the development, delivery, and monitoring of all credit risk models across Citi’s consumer lending portfolios globally. The Model/Anlys/Valid Analyst II - C10 position sits within the Global Mortgage Regulatory Model Development team and specifically part of the APAC Secured Regulatory Champion Models team and is responsible for developing champion/benchmark risk models for Citi's international and U.S. secured portfolios for CCAR, CECL, ICAAP, IFRS9, climate risk, and other regulatory/internal usage.

Job Responsibility

  • Participate in building champion/benchmark models for CCAR, CECL, IFRS9, and other regulatory/internal purposes for Citi's international and U.S. secured portfolios
  • Under manager's guidance, perform data cleansing and analysis, identify static and dynamic portfolio drivers and macroeconomic drivers for portfolio risk performances, build PD/EAD/LGD models and conducting statistical analysis and backtests, perform forecast sensitivity analysis and model robustness tests, and provide model implementation and validation support
  • Create Model Development Document for validation and supporting Annual Model Reviews and Ongoing Performance Assessment of implemented models
  • Participate in model revalidation, model change and related documentation and validation support efforts
  • Ensure timely completion of assigned projects with high quality
  • Work closely with cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team
  • Prepare responses/presentations to regulatory agencies on all CCAR/CECL/IFRS9/Climate models built

Requirements

  • 2+ years of experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, or econometric modeling and in-depth knowledge on the use of statistical models to solve business problems
  • Experience of end-to-end credit risk modeling highly preferred
  • Experience of CCAR and CECL preferred
  • Strong programming (SAS, SQL, Python, R, etc.) and quantitative analytics (regression, time series, decision tree, linear/nonlinear optimization etc.) skills preferred
  • Strong communication skills required to translate model design, specification and performance details to technical and non-technical audiences
  • Master’s/University degree or equivalent experience in Economics, Mathematics, Statistics, Finance of other quantitative discipline
  • PhD degree in Statistics, Economics, Finance, Biomedical Engineering or other quantitative discipline preferred

Nice to have

  • Experience of end-to-end credit risk modeling
  • Experience of CCAR and CECL
  • Strong programming (SAS, SQL, Python, R, etc.) and quantitative analytics (regression, time series, decision tree, linear/nonlinear optimization etc.) skills
  • PhD degree in Statistics, Economics, Finance, Biomedical Engineering or other quantitative discipline

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  • Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA Finance, or other highly quantitative discipline
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