Loss Forecasting and Stress Testing Analytics- Analyst I

Citi; Haryana; On-site; INR 600,000 - 900,000; Full time

Job summary

Citi is seeking a Risk Management professional in Haryana, India to execute quarterly loss and loan loss reserve forecasting for retail portfolios, focusing primarily on North America cards.

The ideal candidate should have a quantitative degree, relevant experience, and strong analytical skills. Responsibilities include performing risk policy analytics and collaborating on financial planning outcomes.

Qualifications

• 0-1 year of experience in financial services, business analytics, or management consulting.
• Post-graduate degree in a quantitative discipline such as Statistics, Mathematics, or Economics.
• Experience with econometric and empirical forecasting models and ability to handle large datasets.

Responsibilities

• Execute quarterly loss forecasting and stress testing processes.
• Collaborate on loss forecasting analytics and governance activities.
• Perform econometric analysis to estimate macroeconomic impacts on portfolio performance.

Skills

Analytical Thinking

Credible Challenge

Data Analysis

Risk Management Lifecycle

Education

Bachelor’s or equivalent experience

Tools

SAS

Microsoft Office

Job description

Overview

The role is within the Loss / Loan Loss Reserve Forecasting and Stress Testing team. This group is tasked with calculating and managing the net credit loss and loan loss reserve forecast on a $150BN+ portfolio and working with Finance to build forecasts for credit losses and loan loss reserves under varying macro‑economic and business conditions. The individual will work on Comprehensive Capital Analysis & Review (CCAR/DFAST) for retail portfolios with a primary focus on NA cards.

The individual should demonstrate a strong work ethic, teamwork, quantitative and problem‑solving skills and leverage technical and business acumen to deliver high quality results.

Key Responsibilities

• Work independently to execute quarterly loss / loan loss reserve forecasting and stress testing processes (CCAR, QMMF, Recovery Plan) for one or more retail portfolios, primarily NA cards.
• Perform associated governance activities – Manager Control Assessment, End User Computing, Activity Risk Control Monitoring and its Assessment Units.
• Collaborate cross‑portfolio and cross‑functional on loss / loan loss reserve forecasting and stress testing analytics.
• Assist in reviewing and challenging existing models and model outputs to identify improvement opportunities relative to portfolio and macro‑economic trends.
• Understand reserves calculation, P&L components, and CECL impact on CCAR results, and the synergies between these processes.
• Collaborate with Risk Modeling, Portfolio & New Account Forecasting, Data Reporting, and Finance to complete requests on financial planning & CCAR/DFAST results and integrate credit risk & PPNR results.
• Perform complex risk policy analytics to assess the impact of credit, business, and regulatory policies on loss performance, incorporating findings into the stress testing process.
• Perform econometric analysis to estimate and explain the impact of changing macroeconomic trends on portfolio performance, losses, delinquency, etc.
• Establish and continually evolve standardized business and submission documentation.
• Collaborate with Risk and Finance to improve data extraction, definition, and utilization processes.
• Identify BAU improvement areas and drive process efficiency through simplification and automation (VBA, SAS, etc.).
• Execute information controls – version control, central results summary – to meet business objectives with clarity.

Qualifications

• 0–1 year of experience in financial services, business analytics, or management consulting.
• Post‑graduate degree specializing in a quantitative discipline: Statistics, Mathematics, Economics, Econometrics, Management, Operations Research, or Engineering.
• Understanding of risk management; knowledge of the credit card industry and key regulatory activities (CCAR) is advantageous. Experience in CCAR / DFAST / Stress Testing preferred.
• Strong comprehension and hands‑on experience with econometric and empirical forecasting models. Data science / machine learning experience preferred with ability to handle large datasets.
• Experience using analytical packages such as SAS, Essbase/datacube, and Microsoft Office (Excel, Powerpoint).
• Vision and ability to provide innovative solutions to core business practices.
• Ability to develop partnerships across multiple business and functional areas.
• Strong written and oral communication skills.

Education

• Bachelor’s or University degree, or equivalent experience.

Leadership Competencies

• Ability and experience to drive changes that achieve business targets.
• Displays flexibility and works well with varying personal styles.
• Understands and appreciates diverse backgrounds.
• Demonstrates strong ethics.
• Builds strong cross‑functional relationships within and outside Risk Management.
• Contributes to a positive work environment; shares knowledge and supports diversity.

Job Details

Job Family Group: Risk Management
Job Family: Model Development and Analytics
Time Type: Full time

Skills

Most Relevant: Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.
Other Relevant: Business Acumen, Constructive Debate, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, 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, contact Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.