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Loss Forecasting and Stress Testing Analytics Analyst

https://www.citi.com/ Logo

Citi

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Location:
India, Mumbai

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Category:
Finance

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Contract Type:
Employment contract

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Salary:

Not provided

Job Description:

The role involves calculating and managing the net credit loss and loan loss reserve forecast, working with Finance teams to build forecasts under varying conditions, and assisting with regulatory reviews. Responsibilities include forecasting losses, reviewing models, analyzing financial data, collaborating with various teams, and driving process efficiency.

Job Responsibility:

  • Perform quarterly loss/loan loss reserve forecasting and stress testing for retail portfolios
  • Execute governance activities like Manager Control Assessment, Activity Risk Control Monitoring
  • Assist in review and challenge of models and outputs to identify areas of improvement
  • Collaborate with teams on financial planning and increased integration of credit risk and PPNR results
  • Perform complex risk policy analytics and econometric analysis
  • Establish and evolve standardized business documentation
  • Drive process efficiencies through automation and data optimization
  • Execute information controls

Requirements:

  • 3+ years of work experience in financial services, business analytics or management consulting
  • Post graduate degree with specialization in a quantitative discipline: Statistics, Mathematics, Economics, Econometrics, Management, Operations Research or Engineering
  • 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
  • Ability to develop partnerships across multiple business and functional areas
  • Strong written and oral communication skills

Nice to have:

  • Knowledge of credit card industry and key regulatory activities (CCAR)
  • Experience in CCAR/DFAST/Stress Testing
  • Experience in data science/machine learning with ability to handle large datasets

Additional Information:

Job Posted:
August 19, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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