Assistant Vice President - Model Monitoring & Validation - Risk Analytics

Piramal Capital Housing Finance·Posted 1 week ago

Location

All India

Experience

6–10 years

Required Skills

PythonRSQLSAScredit scoringscikitlearnTensorFlowPyTorchXGBoostbureau datamodel validation techniquesvintage analysisrollrate analysisloss forecastingAI fairnessbias auditingexplainability testingdisparate impact analysiscounterfactual evaluationResponsible AI principlesAI governance regulations

About the Role

As an Assistant Vice President in Model Monitoring & Validation at Piramal, you will be responsible for the following:

Role Overview:
You will have the ownership of the end-to-end model monitoring framework for credit, collections, fraud, and pricing models. This includes tracking key model health metrics and designing automated monitoring pipelines. Additionally, you will conduct challenger vs. champion analysis to recommend model upgrades and recalibrations.

Key Responsibilities:

• Own and operate the end-to-end model monitoring framework for credit, collections, fraud, and pricing models

• Track key model health metrics such as PSI, CSI, Gini coefficient, and AUC drift

• Design and implement automated monitoring pipelines triggering alerts for degraded model performance

• Build scorecard monitoring dashboards integrating bureau, internal, and alternate data

• Conduct challenger vs. champion analysis for model upgrades

• Maintain a comprehensive model inventory and enforce model risk tiering

• Lead periodic model validation reviews in coordination with stakeholders

• Produce regular model health reports for senior leadership and stakeholders

• Mentor and develop a team in statistical testing and responsible AI governance best practices

• Partner with various teams to embed monitoring across the model lifecycle

Qualifications Required:

• Bachelors/Masters degree in Economics, Statistics, Data Science, Computer Science, Finance, or Engineering

• 6-8 years of experience in analytics, preferably in credit risk analytics or financial services

• Proficiency in Python, R, SQL, SAS, and ML libraries

• Deep understanding of credit scoring, bureau data, and model validation techniques

• Experience with vintage analysis, roll-rate analysis, and loss forecasting

• Understanding of AI fairness, bias auditing, and explainability testing

• Knowledge of Responsible AI principles and emerging AI governance regulations

In this role, you will play a crucial part in ensuring accurate, fair, and defensible AI and ML-driven credit decisions. Your work will involve building the AI monitoring infrastructure, creating regulatory confidence, and protecting the organization from model failure-induced losses. Additionally, you will champion Responsible AI and enable the next generation of AI innovation through establishing governance rails for safe experimentation. As an Assistant Vice President in Model Monitoring & Validation at Piramal, you will be responsible for the following: