Intermediate Analyst – Loss Forecasting and Stress Testing Analytics

Citi

Intermediate Analyst in Loss Forecasting and Stress Testing supporting credit risk management in financial services. Analyzing macro-economic trends and collaborating with finance and risk teams.

Posted 7/8/2026full-timeGurugram • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in loss and loan loss reserve forecasting, stress testing processes, and risk management within the financial services sector. Proficient in econometric analysis and data science methodologies to enhance portfolio performance and regulatory compliance.

Highest-signal resume keywords

CCAR / DFAST ExperienceEconometric Forecasting ModelsData Science / Machine LearningSAS ProficiencyRisk Management Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Loss Reserve ForecastingStress Testing AnalyticsRisk Policy AnalyticsMacroeconomic Trend AnalysisFinancial PlanningModel Review and ImprovementData Extraction and UtilizationProcess Efficiency ImprovementVersion ControlBusiness Documentation

Soft Skills

Cross-Functional CollaborationIndependent ExecutionAnalytical ThinkingProblem SolvingCommunication

Tools & Technologies

SASVBAMS Office (Excel, PowerPoint)Data Reporting ToolsAnalytical Packages

Industry Keywords

Financial ServicesCredit Card IndustryRegulatory ActivitiesCCARDFASTPortfolio PerformanceLoan Loss ReserveRisk ManagementBusiness AnalyticsManagement Consulting

Tech Stack

Tools & technologies

VBA

About the role

Key responsibilities & impact

Work independently to effectively execute: Quarterly loss / loan loss reserve forecasting and stress testing processes (CCAR, QMMF, Recovery Plan) deliverables for one or more retail portfolios with primary focus on NA cards
Associated governance activities (Manager Control Assessment, End User Computing, Activity Risk Control Monitoring and its Assessment Units)
Cross-portfolio and cross-functional collaboration on loss / loan loss reserve forecasting and stress testing analytics
Assist in review and challenge of existing models, and model outputs to identify areas of improvement relative to portfolio & macro-economic trends.
Understand the calculation of reserves, components of P&L, and the impact of CECL on CCAR results besides understanding the synergies between two processes.
Collaborate with other teams like Risk Modeling, Portfolio & New Account Forecasting, Data Reporting and Finance to complete requests on financial planning & CCAR/DFAST results and increased integration of credit risk & PPNR results
Perform complex risk policy analytics in terms of sizing the impact of credit/business/regulatory policies on loss performance and incorporate it 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 organization to understand sources of data and continue to improve the process of defining, extracting and utilizing data.
Identify areas of improvement in BAU and drive process efficiency through process simplification and automation (VBA, SAS, etc.)
Execute information controls (version control, central results summary) to meet business objectives with utmost clarity.

Requirements

What you’ll need

4+ years work experience in financial services, business analytics or management consulting.
Understanding of risk management.
Knowledge of credit card industry and key regulatory activities (CCAR) is a plus.
Experience in CCAR / DFAST/Stress Testing is preferred
Strong understanding and hands-on experience with econometric and empirical forecasting models.
Experience in data science / machine learning is preferred with ability to handle large datasets
Experience in using analytical packages like SAS, datacube/Essbase, MS Office (Excel, Powerpoint)

Benefits

Comp & perks

Health insurance
Flexible work arrangements