Citi Hiring Loss Forecasting & Stress Testing Analyst I (Gurgaon)

This position is part of the Loss and Loan Loss Reserve Forecasting and Stress Testing Analytics team. The group is responsible for calculating and managing net credit loss and loan loss reserve forecasts for a portfolio exceeding $150BN. The team partners with Finance to produce forecasts for credit losses and reserves under different macroeconomic and business scenarios, with work focused on Comprehensive Capital Analysis and Review (CCAR/DFAST) processes for retail portfolios, primarily North America cards.

The analyst is expected to demonstrate strong quantitative ability, problem solving capability, and a collaborative work ethic. The role involves using technical and business knowledge to deliver accurate forecasting and analysis while maintaining strong governance and documentation practices.

Key Responsibilities

• Independently support quarterly loss and loan loss reserve forecasting and stress testing deliverables such as CCAR, QMMF, and Recovery Plan processes for one or more retail portfolios, with emphasis on NA cards.
• Carry out related governance activities including Manager Control Assessment, End User Computing reviews, and Activity Risk Control Monitoring.
• Work across portfolios and functions to support forecasting and stress testing analytics.
• Assist with review and challenge of existing models and outputs to identify improvement opportunities aligned with portfolio and macroeconomic trends.
• Understand reserve calculations, components of P&L, and the influence of CECL on CCAR outcomes while recognizing the relationship between these processes.
• Collaborate with Risk Modeling, Portfolio and New Account Forecasting, Data Reporting, and Finance teams to support financial planning requests and CCAR/DFAST reporting.
• Conduct complex risk policy analytics to evaluate the impact of credit, business, or regulatory policy changes on loss performance and incorporate insights into stress testing.
• Perform econometric analysis to estimate and explain how changing macroeconomic conditions affect portfolio performance, including losses and delinquency trends.
• Develop and maintain standardized documentation for business processes and regulatory submissions.
• Work with Risk and Finance teams to understand data sources and improve methods for defining, extracting, and using data.
• Identify opportunities to enhance efficiency in BAU processes through simplification and automation using tools such as VBA and SAS.
• Maintain strong information controls including version management and centralized results summaries.

Qualifications

• 0 to 1 year of experience in financial services, business analytics, or management consulting.
• Postgraduate degree specializing in a quantitative discipline such as Statistics, Mathematics, Economics, Econometrics, Management, Operations Research, or Engineering.
• Understanding of risk management concepts. Knowledge of the credit card industry and regulatory processes such as CCAR is an advantage. Exposure to CCAR, DFAST, or stress testing is preferred.
• Hands-on familiarity with econometric and empirical forecasting models. Exposure to data science or machine learning and the ability to work with large datasets is beneficial.
• Experience with analytical tools such as SAS, Datacube or Essbase, and Microsoft Office tools including Excel and PowerPoint.