Loss Reserve Forecasting and Stress Testing Analytics - Vice President

Citi; Haryana; On-site; INR 13,233,000 - 19,849,000; Full time

Job summary

The Citi Loss / Loan Loss Reserve Forecasting and Stress Testing team is seeking a seasoned analytics professional. The role focuses on forecasting net credit losses and loan loss reserves for a $150B+ portfolio and supporting CCAR/DFAST activities for North America Credit Cards.

The successful candidate combines deep forecasting expertise with strong governance, data governance, and communication skills to influence cross-functional stakeholders and drive improvements in forecasting, reporting,

Qualifications

• 10+ years in financial services analytics or consulting.
• Strong CCAR/DFAST and stress testing knowledge.
• Expertise in econometric/empirical forecasting models.

Responsibilities

• Independently execute quarterly loss and loan loss forecasting and CCAR stress testing for NA Cards.
• Manage governance activities and risk controls.
• Collaborate across Risk, Finance, and Portfolio Forecasting teams to integrate PPNR results.
• Review models and outputs; identify enhancements using macro trends.
• Drive automation and data-quality improvements using VBA and SAS.
• Communicate findings to senior management with clear documentation.

Skills

Econometric forecasting

SAS

Data analysis

Governance

Communication

Project management

Risk management

Stakeholder engagement

Education

Bachelor's degree or higher

Tools

SAS

Datacube/Essbase

MS Office

Job description

The role is within the Loss / Loan Loss Reserve Forecasting and Stress Testing team, responsible for forecasting net credit losses and loan loss reserves for a $150B+ portfolio and partnering with Finance to assess performance under various macroeconomic and business scenarios. The position supports Comprehensive Capital Analysis and Review (CCAR/DFAST) activities for retail portfolios, with a primary focus on North America Credit Cards.

The successful candidate is a strategic professional with deep expertise in credit loss forecasting and stress testing. They stay current with industry developments, apply advanced analytical skills to business challenges, and contribute to the team's strategic direction. As a recognized subject matter expert, the individual provides guidance on complex analytical and operational matters, influences stakeholders across functions, and delivers high-impact results.

Strong communication, collaboration, quantitative, and problem-solving skills are essential. Key responsibilities include analyzing the drivers of credit losses and reserves, assessing emerging trends, developing accurate forecasts, evaluating model outputs for reasonableness, reconciling financial data from multiple sources, and effectively communicating findings to management and key stakeholders. The role also requires maintaining strong governance and documentation standards while improving forecasting, reporting, and data processes through automation and process enhancements.

Key Responsibilities

• Independently execute quarterly loss and loan loss reserve forecasting and stress testing processes (CCAR, QMMF, Recovery Plan) for one or more retail portfolios, with a primary focus on North America Cards.
• Manage associated governance activities, including Manager Control Assessments (MCA), End User Computing (EUC), and Activity Risk Control Monitoring and Assessment Units.
• Partner across portfolios and functions to support forecasting and stress testing analytics.
• Review and challenge existing models and outputs, identifying opportunities for enhancement based on portfolio performance and macroeconomic trends.
• Understand reserve calculations, P&L components, and the impact of CECL on CCAR results, including the interdependencies between these processes.
• Collaborate with Risk Modeling, Portfolio Forecasting, New Account Forecasting, Data Reporting, and Finance teams to support financial planning, CCAR/DFAST analyses, and integration of credit risk and PPNR results.
• Perform complex risk analytics to quantify the impact of credit, business, and regulatory policies on portfolio performance and incorporate findings into stress testing frameworks.
• Conduct econometric analyses to assess and explain the effects of changing macroeconomic conditions on portfolio performance, losses, and delinquency trends.
• Identify modeling opportunities that deliver measurable business value.
• Provide guidance and mentorship to junior team members as needed.
• Partner with Risk and Finance teams to improve data sourcing, extraction, definition, and utilization processes.
• Drive continuous improvement in business-as-usual processes through simplification and automation using tools such as VBA and SAS.
• Execute and maintain information controls, including version management and centralized reporting, to ensure accuracy, transparency, and compliance with business objectives.

Qualifications

• 10+ 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)
• Vision and ability to provide innovative solutions to core business practices.
• Demonstrated project management and organizational skills and capability to handle multiple projects at one time.
• Ability to develop partnerships across multiple business and functional areas.
• Strong written and oral communication skills.

Education

• Bachelors/University degree or equivalent experience

Leadership Competencies

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

This is a Individual contributor role.

Job Family Group

Risk Management

Job Family

Model Development and Analytics

Time Type

Full time

Most Relevant Skills

Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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