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Risk Model Development Analyst II

India, 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. These models span two core activities; granting and managing credit to individual customers and delivering loss forecasts for stress testing (ex. CCAR), loan loss reserving (ex. CECL), and business planning.

Job Responsibility

  • Participate in building champion/benchmark models for CCAR, CECL, IFRS9, climate risk, 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
  • Understand model variables and economic forecasts and conduct drill down analysis and reporting of model performances
  • Deliver comprehensive write-up of ongoing model performance assessment, Annual Model Review / Revalidation documents

Requirements

  • 2+ years of experience
  • Experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, or econometric modeling
  • 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
  • Understanding of traditional modeling processes (linear/ logistic regression, segmentation, decision tree) and machine learning algorithms (Random Forest, Gradient Boosting, XG Boost, SVM, etc.), time series, linear/nonlinear optimization
  • Experience in reporting (risk/marketing) in portfolio reporting, model monitoring, generating business insights
  • 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 skills
  • PhD degree in Statistics, Economics, Finance, Biomedical Engineering or other quantitative discipline

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Until further notice
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