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Loss Forecasting and Stress Testing Analytics - Vice President

India, Haryana · Job Posted May 27, 2026
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Job Description

This is an exceptional opportunity for a developing professional to independently tackle complex challenges, integrate deep specialized knowledge, and drive critical financial forecasting initiatives for a significant mortgage and retail bank portfolio. Join our cutting-edge Loss / Reserve Forecasting and Stress Testing team and contribute to the financial stability and strategic direction of a global leader in financial services. Our team is at the forefront of Credit risk management, responsible for meticulously calculating and managing credit losses/reserves and strategic planning and forecasts. We collaborate closely with multiple teams to construct robust forecasts for credit losses and loan loss reserves under diverse macro-economic and business conditions. This role offers the chance to make a tangible impact by ensuring sound financial projections and contributing to key regulatory compliance efforts.

Job Responsibility

  • Lead Forecasting & Stress Testing: Drive the execution of quarterly loss/loan loss reserve forecasting and stress testing processes (e.g., CCAR, QMMF, Recovery Plan) for US mortgage and retail bank portfolios
  • Enhance Model Validation & Integrity: Actively participate in the review and challenge of existing models and their outputs
  • Strategic Policy Analytics: Conduct sophisticated risk policy analytics to quantify the impact of credit, business, and regulatory policies on loss performance
  • Advanced Econometric Analysis: Perform in-depth econometric analysis to estimate and articulate the influence of changing macro-economic trends on key performance indicators
  • Data-Driven Insights & Automation: Understand and analyze the key drivers of losses and loan loss reserves
  • Cross-Functional Collaboration: Partner with Risk and Finance organizations to optimize data sourcing, definition, extraction, and utilization processes
  • Process Optimization & Innovation: Identify and champion opportunities for process efficiencies through automation (using Python, VBA, SAS, Tableau)
  • Governance & Compliance Excellence: Oversee associated governance activities
  • Stakeholder Engagement & Communication: Present complex analytical findings and strategic recommendations to managers, key stakeholders, senior management, and various review, challenge, and audit teams
  • Ethical Risk Management: Consistently assess and mitigate risk in all business decisions

Requirements

  • 10+ years of progressive experience in financial services, business analytics, or management consulting, with a strong emphasis on quantitative analysis
  • A post-graduate degree in a quantitative discipline such such as Statistics, Mathematics, Economics, Econometrics, Management, Operations Research, or Engineering
  • Demonstrated proficiency in analytical and automation tools (e.g., Python, SAS, VBA, Tableau) and a keen interest in leveraging AI for enhanced efficiency
  • Strong understanding of risk management principles
  • Experience with Loss Forecasting/CECL/ Stress Testing is highly preferred
  • Knowledge of the mortgage and/or retail bank industry and associated regulatory activities is a significant advantage
  • Exceptional quantitative aptitude, critical thinking, and problem-solving abilities, with a track record of delivering high-quality results
  • Excellent written and verbal communication skills, with the ability to articulate complex analytical concepts to diverse audiences
  • A strong work ethic, a collaborative spirit, and the ability to thrive in both independent and team-oriented environments
  • Bachelor’s/University degree or equivalent experience, potentially Masters degree

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  • Associated governance activities (Manager Control Assessment, End User Computing, Activity Risk Control Monitoring and its Assessment Units)
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  • Perform econometric analysis to estimate and explain the impact of changing macroeconomic trends on Portfolio Performance Losses, delinquency etc.
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  • Lead Forecasting & Stress Testing: Drive execution of quarterly loss/loan loss reserve forecasting and stress testing processes (e.g., CCAR, QMMF, Recovery Plan) for US mortgage and retail bank portfolios
  • Enhance Model Validation & Integrity: Review and challenge existing models and outputs for improvement
  • Strategic Policy Analytics: Conduct risk policy analytics to quantify impact of credit, business, and regulatory policies
  • Advanced Econometric Analysis: Perform econometric analysis to estimate influence of macro-economic trends on portfolio losses and delinquency rates
  • Data-Driven Insights & Automation: Analyze key drivers of losses and loan loss reserves
  • Cross-Functional Collaboration: Partner with Risk and Finance organizations
  • Process Optimization & Innovation: Identify process efficiencies through automation (Python, VBA, SAS, Tableau) and Citi AI solutions
  • Governance & Compliance Excellence: Oversee governance activities
  • Stakeholder Engagement & Communication: Present findings to managers and senior management
  • Ethical Risk Management: Assess and mitigate risk in business decisions
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  • Enhance Model Validation & Integrity: Actively participate in the review and challenge of existing models and their outputs, identifying opportunities for continuous improvement in alignment with portfolio performance and evolving macro-economic trends
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  • Data-Driven Insights & Automation: Understand and analyze the key drivers of losses and loan loss reserves, their relative importance, and current trends
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  • Cross-Functional Collaboration: Partner with Risk and Finance organizations to optimize data sourcing, definition, extraction, and utilization processes, continuously improving our analytical capabilities
  • Process Optimization & Innovation: Identify and champion opportunities for process efficiencies through automation (using Python, VBA, SAS, Tableau), simplification of underlying data, forecasting, and reporting processes, including the innovative application of Citi AI solutions
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