Model/Analysis/Validation Sr Analyst

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. The Model/Anlys/Valid Sr Analyst role of global secured portfolio model development sits within the Global Mortgage Regulatory Model Development team and specifically part of the US Secured Regulatory Champion Models team and is responsible for developing champion/benchmark risk models for Citi's U.S. secured portfolios for CCAR, CECL, climate risk, and other regulatory/internal usage. Responsibilities Participate in building champion/benchmark models for CCAR, CECL and other regulatory/internal purposes for Citi's 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 conduct statistical analysis and back test, perform forecast sensitivity analysis and model robustness tests, and 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. Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences. Qualifications 5+ 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). Experience of end-to-end credit risk modeling highly preferred. Experience of CCAR and CECL highly preferred. Strong programming (SAS, 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. Skillset Quantitative Analysis Statistical Modeling Loss forecasting/Loan Loss Reserve Modeling/Econometric Modeling Credit Risk Modeling CCAR/CECL Regulations SAS, SQL, Python, R Education Bachelor’s/University degree or equivalent experience required. PhD degree in Statistics, Economics, Finance, Biomedical Engineering or other quantitative discipline preferred. Location: Charlotte, North Carolina, United States. Salary range: $90,080.00 - $135,120.00 (annual). Benefits include medical, dental & vision coverage; 401(k); life, accident, and disability insurance; wellness programs; paid time off packages (vacation, sick leave, paid holidays). 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. View Citi’s EEO Policy Statement and the Know Your Rights poster. #J-18808-Ljbffr Citi