Model Validation

CClyticx Services Private Limited; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

CClyticx Services Private Limited is seeking an experienced professional to lead model validation and governance in a banking context. The role focuses on validating credit risk and other models, with exposure to AI governance and regulatory reporting.

You will collaborate with risk teams and auditors to ensure robust model performance and compliance. Ideal candidates have 3+ years in model validation, strong SQL and Python, and familiarity with AI initiatives in financial services.

Qualifications

• 3+ years in model validation or MRM governance in regulated financial institutions or with consumer lending or credit card experience.
• Exposure to AI implementation or governance.
• Experience in reporting and presenting validation results to stakeholders.

Responsibilities

• Validate models and monitor performance using metrics like AUC, KS, capture rate, PSI and back-testing.
• Write clear validation reports and present findings to management, auditors, regulators and bank partners.
• Critically evaluate model assumptions and methodologies and challenge developer conclusions.
• Maintain model governance, validation schedules, and findings management.

Skills

SQL

Python

AWS/Sagemaker

Education

Bachelor’s/Master’s in quantitative field

Tools

SAS

R

Job description

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 clear 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