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Loss Forecasting and Stress Testing Analytics Intermediate Analyst

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Citi

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Location:
India , Mumbai

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Category:
Finance

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Contract Type:
Not provided

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Salary:

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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 credit card 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.

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 North American cards portfolios
  • 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
  • Strategic Policy Analytics: Conduct sophisticated risk policy analytics to quantify the impact of credit, business, and regulatory policies on loss performance, seamlessly integrating these insights into the stress testing framework
  • Advanced Econometric Analysis: Perform in-depth econometric analysis to estimate and articulate the influence of changing macro-economic trends on key performance indicators such as portfolio losses and delinquency rates
  • Data-Driven Insights & Automation: Understand and analyze the key drivers of losses and loan loss reserves, their relative importance, and current trends
  • 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
  • Governance & Compliance Excellence: Oversee associated governance activities (Manager Control Assessment, End User Computing, Activity Risk Control Monitoring), ensuring best-in-class practices for documentation, version control, and central results summaries
  • 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, safeguarding the firm's reputation and assets by adhering to regulatory compliance, internal policies, and sound ethical judgment

Requirements:

  • Minimum of 4 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 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
  • 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

Nice to have:

  • Experience with Loss Forecasting/CECL/ Stress Testing is highly preferred
  • Knowledge of the credit card industry and associated regulatory activities is a significant advantage

Additional Information:

Job Posted:
March 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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