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Credit Risk Model Monitoring Analytics Intermediate Analyst

India, Bengaluru · Job Posted March 20, 2026
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Job Description

This position within Global Consumer Banking will focus on model performance Monitoring, Analytics & Insights for Non-Regulatory Decision Models for Unsecured products (e.g., Credit Cards).

Job Responsibility

  • Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning
  • Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models adding business value
  • Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance
  • Partnering with Risk Policy leads to help understanding the levers / cut off adjustments required in scores baked in Risk strategies to bring in incremental benefit / loss mitigation to business
  • Explain model performance to second line (Model Risk Management) of defense providing rational for model performance deterioration, explaining the applicability of the usage of the model
  • Respond to queries from 3rd Line of Defense (Internal and External Auditors) on model performance
  • Work effectively across cross functional teams - Development, Implementation, Policy, Validation and Governance teams - coordinating the horizontal model usage and maintenance activities
  • Perform analysis for benchmark models and other ad hoc analysis as required by business/validation teams
  • Develop knowledge and drive discussions on Model usage across channels, score range with Risk Strategy managers
  • Conduct QA/QC on all steps (e.g., input data, model output, etc.) required for model monitoring and production forecast reporting
  • Deliver comprehensive write-up of ongoing model performance assessment, Annual Model Review / Revalidation documents
  • Understand model variables and economic forecasts and conduct drill down analysis and reporting of model performances
  • Deliver end user computing process related mandates
  • Expected to manage own projects independently
  • Train and mentor junior team members on Model Monitoring, generating insights from different analysis required by business

Requirements

  • Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics, etc.
  • 5+ Years reporting & analytics experience
  • Strong programming (SAS, SQL, Python, Tableau, etc.) skills
  • Experience in reporting tools - Excel, Tableau
  • Understanding of traditional modeling processes (linear/ logistic regression, segmentation, decision tree) and machine learning algorithms (Random Forest, Gradient Boosting, XG Boost, SVM, etc.), time series, linear/nonlinear optimization
  • Understanding of relevant model metrics / KPIs & bring out insights on model performance tracking
  • Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences is a must
  • Extensive experience in model monitoring/validation, performance scorecards, etc. in Excel, Tableau, Cognos, etc.
  • Extensive experience in reporting (risk/marketing) in portfolio reporting, model monitoring, generating business insights

Nice to have

  • Experience in developing optimal/ automated solution of reporting processes using SAS, Excel VBA, Tableau will be a plus
  • Experience in adoption of AI in bringing efficiency into core functional process, automating reports would be a plus
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