Intermediate Analyst – Risk Model Development

Citi

Develop benchmark risk models for Citi's U.S. secured portfolios, focusing on CCAR, CECL, and climate risks.

Posted 6/10/2026full-timeMumbai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Participate in building champion/benchmark models for CCAR, CECL and other regulatory/internal purposes for Citi's U.S. secured portfolios
Independently 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
Provide model implementation and validation support with minimal manager support
Create and review 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
Effectively communicate model results to both technical and non-technical senior audience
Present model results with over-sight for approvals
Good understanding of regulatory requirements
Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences.

Requirements

What you’ll need

5+ years of 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 (years of experience in Master or PhD programs of Statistics, Economics, Finance, Biomedical Engineering or other highly quantitative discipline counts)
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.

Benefits

Comp & perks

Citi is an equal opportunity employer
Qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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Hard Skills & Tools

quantitative analysisstatistical modelingloss forecastingloan loss reserve modelingeconometric modelingcredit risk modelingprogrammingregressiontime seriesoptimization

Soft Skills

communicationpresentationcollaborationproblem-solvingattention to detailindependenceorganizational skillsadaptabilitystakeholder engagementtechnical communication