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Regulatory Model Monitoring Analytics Intermediate Analyst

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Citi

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Location:
India , Bengaluru

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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:

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. The Regulatory Model Monitoring Analytics – C11 position sits within the Regulatory Model Monitoring & Analytics team.

Job Responsibility:

  • Analyze and generate insights for Regulatory Risk Models (CCAR/DFAST/CECL/IFRS9 stress‑loss models), including performance assessment, root‑cause analysis for deterioration, recommended mitigation actions, and rationale for continued model usage
  • Quantify and articulate the business impact of model performance trends—translating changes in model accuracy into impacts on loss forecasts, capital, and reserves
  • Communicate results to diverse audiences
  • Explain the model performance trends to Model Risk Management (MRM), including rationale for deterioration if observed
  • Prepare and deliver comprehensive write-ups for Ongoing Monitoring Reports and Annual Model Review documentation
  • Work effectively across cross‑functional teams—including Model Development, Implementation, Sponsors/Policy, Validation, and Governance
  • Support internal & external audits, and regulatory reviews by responding to model performance related inquiries
  • Conduct robust QC on model inputs, outputs, and monitoring datasets to maintain accuracy and reliability
  • Leverage Gen AI to establish consistent and scalable processes, driving automation and simplification initiatives
  • Work as an individual contributor in model monitoring techniques, analytical deep dives, and AI‑enabled insight generation

Requirements:

  • Advanced degree preferred (Master’s required, PhD preferred) in Statistics, Applied Mathematics, Computer Science, Operations Research, Economics, Finance (MBA), or another highly quantitative discipline
  • Strong programming skills in SAS, SQL, Python
  • experience with Tableau/Excel for performance reporting
  • Understanding of modeling techniques such as linear/logistic regression, machine learning techniques, segmentation, decision trees, survival models, time series analysis, etc.
  • Experience in applying analytical and statistical methods to explain performance variation and derive actionable insights
  • Excellent written and verbal communication skills, with the ability to simplify complex topics for senior audiences
  • Extensive experience in model monitoring, development or validation for loss‑forecasting models (CCAR/CECL)
  • Experience in developing optimal or automated reporting solutions using SAS, Python, SQL, Excel VBA, Tableau and GenAI tools
  • 5+ years of experience in model monitoring, model development or validation, quantitative analytics, or related risk disciplines

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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