Climate Risk Model Development – Analyst II

Citi

Analyst II role in climate risk model development focusing on regulatory and internal climate risk stress testing. Collaborate with cross-functional teams on model implementation and validation.

Posted 6/12/2026full-timeBangalore • 🇮🇳 IndiaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Participate in building champion/benchmark models for climate risk stress testing 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.

Requirements

What you’ll need

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 (years of experience in Master or PhD programs of Statistics, Economics, Finance, Biomedical Engineering or other highly quantitative discipline counts).
Past experience of climate risk stress testing or catastrophe modeling preferred
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, and 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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

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Hard Skills & Tools

quantitative analysisstatistical modelingloss forecastingloan loss reserve modelingeconometric modelingregressiontime seriesdecision treelinear optimizationnonlinear optimization

Soft Skills

strong communication skillscollaborationproject managementattention to detailproblem-solving