Education:
Bachelor’s or Master’s degree in statistics, mathematics, economics, finance, data science, or a related quantitative field.

Experience:
3+ years in model validation or MRM governance within a regulated financial institution or consulting firm with consumer lending or credit card experience and banking experience preferred. Exposure to AI implementation and/or Governance Technical

skills:
SQL and Python required, AWS/Sagemaker AI experience preferred and good to haves are SAS or R Model Types: Experience with credit risk, underwriting, pre-screen, fraud, marketing or other banking models, including statistical (i.e. regression and time series) and machine-learning models. Governance: Experience with model inventory, risk-tiering, validation schedules,



findings management, approvals, Ongoing Monitoring and Model Governance requirements. Reporting: Ability to write explicit validation reports and present results to management, auditors, regulators, and bank partners Validation and Model Monitoring: Experience evaluating model performance and model drift using metrics such as AUC, KS, capture rate, PSI, back-testing, benchmarking, stability analysis, and outcome/bad-rate trends Independent Challenge: Ability to critically evaluate model assumptions, methodology, results, and developer conclusions

📌 Model Validation (Chennai)
🏢 CClyticx Services Private
📍 Chennai