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Regulatory Risk Model Development Intermediate Analyst

https://www.citi.com/ Logo

Citi

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Location:
India , Haryana

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Citi's Risk Modeling Solutions department is responsible for the development, delivery, and monitoring of all credit risk models across Citi's consumer lending portfolios globally. These models span two core activities: granting and managing credit to individual customers and delivering loss forecasts for stress testing (ex. CCAR), loan loss reserving (ex. CECL), and business planning. The Role Name Model/Anlys/Valid Intmd Anlyst - C11 position sits within the US Regulatory Model Development team and is responsible for developing stress testing and loss provisioning models for US Unsecured portfolios.

Job Responsibility:

  • Obtain and conduct QA/QC on all data required for CCAR/CECL model development
  • Develop segment and/or account level CCAR/CECL stress loss models
  • Perform all required tests (e.g. sensitivity and back-testing)
  • Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed
  • Deliver comprehensive model documentation
  • Work closely with cross functional teams, including country/region business stakeholders, model validation and governance teams, and model implementation team
  • Prepare responses/presentations to regulatory agencies on all CCAR/CECL models built

Requirements:

  • Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
  • 4+ years experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
  • Experience with dynamics of unsecured or secured products a strong plus
  • Active role in performing some analytical components of an econometric modeling-driven stress loss process (data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation)
  • Exposure to various stress loss modeling approaches at the segment or account level preferred
  • Able to communicate technical information verbally and in writing to both technical and non-technical audiences
  • Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint
  • Work as an individual contributor

Nice to have:

  • Experience with dynamics of unsecured or secured products
  • Exposure to various stress loss modeling approaches at the segment or account level

Additional Information:

Job Posted:
May 15, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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