Head - Portfolio Risk Analytics & Digital Policy

Grade: DVP / Head of Department

Function: Credit Risk / Portfolio Risk Analytics

Reporting To: Chief Risk Officer (CRO)

Location: Pune / Mumbai

Role Overview:

We are looking for a senior Credit Risk Analytics / Portfolio Risk professional to lead portfolio analytics, risk modelling, portfolio monitoring and digital credit policy initiatives across secured lending products including Housing Finance, Home Loans, Home Improvement, Home Construction, Balance Transfer and Loan Against Property (LAP).

The role requires a strong Analytics and Data Modelling background, with hands-on experience in working with large lending datasets and developing/monitoring credit risk models and portfolio risk indicators.

The incumbent will be responsible for translating portfolio data and risk analytics into actionable credit policies, risk interventions and risk-adjusted growth strategies. The role will work closely with Business, Credit, Product, Technology, Data Science, Operations, Collections and senior Risk leadership.

Key Responsibilities:

1. Portfolio Risk Analytics & Monitoring:

- Lead portfolio analytics and monitoring across secured lending products.

- Analyse large-volume portfolio datasets to identify trends, emerging risks and opportunities.

- Develop portfolio monitoring frameworks covering delinquency, roll rates, vintage analysis, cohort performance, NPA trends and portfolio segmentation.

- Monitor portfolio performance across products, geographies, customer segments, sourcing channels and risk grades.

- Develop and monitor Early Warning Indicators (EWI), portfolio triggers and risk dashboards.

- Identify deterioration trends and recommend timely corrective actions and policy interventions.

2. Credit Risk Modelling:

- Lead development, implementation and monitoring of credit risk models.

- Strong hands-on exposure to PD (Probability of Default), LGD (Loss Given Default) and EAD methodologies.

- Develop and monitor Expected Credit Loss (ECL) frameworks and portfolio-level loss estimates.

- Work on risk segmentation, probability models and predictive analytics.

- Develop, enhance and monitor credit scorecards and risk-rating frameworks.

- Conduct model performance monitoring, calibration, stability analysis and periodic review.

- Support stress testing and scenario-based portfolio risk assessment.

3. Data & Statistical Analytics:

- Work extensively with large and complex lending datasets to generate actionable risk insights.

- Drive data-driven portfolio analysis and statistical modelling.

- Partner with Data Science / Analytics / Technology teams on predictive modelling and risk analytics initiatives.

- Define data requirements, analytical methodologies and portfolio risk metrics.

- Use data to identify drivers of delinquency, default, loss and portfolio deterioration.

- Build analytical frameworks to support risk-adjusted business growth.

4. Credit Policy & Risk Strategy:

- Translate portfolio analytics and model outputs into effective credit policy interventions.

- Develop and enhance credit and portfolio policies based on portfolio behaviour and risk appetite.

- Partner with Business and Product teams to design risk-adjusted growth strategies.

- Review credit programs, risk segmentation, approval parameters and portfolio limits.

- Recommend changes to underwriting policies based on portfolio performance and analytics.

- Balance business growth with portfolio quality and risk appetite.

5. Digital Underwriting & Decisioning:

- Drive analytics-led digital credit policy and underwriting transformation.

- Work with Technology and Product teams on automated credit decisioning and decision trees.

- Support development of digital credit journeys using portfolio and customer data.

- Leverage AI/ML and alternative data for underwriting, risk assessment and early-warning models.

- Identify opportunities for automation and straight-through processing in credit decisioning.

- Monitor performance of automated decisioning strategies and recommend optimisation.

6. Portfolio Stress Testing & Risk Governance:

- Lead periodic portfolio stress testing and scenario analysis.

- Assess the potential impact of macroeconomic and portfolio-level changes on credit losses and profitability.

- Review portfolio concentration, risk appetite and exposure limits.

- Present portfolio analytics, risk trends, model outputs and recommendations to senior management and Risk Management Committee.

- Support CRO and senior risk leadership with data-driven portfolio risk insights.

7. Regulatory & Risk Governance:

- Ensure portfolio analytics, credit policies and risk models are aligned with applicable RBI/NHB requirements and internal risk governance standards.

- Support regulatory reviews, NHB audits and portfolio-risk-related audits.

- Maintain appropriate documentation and governance around models, policies and portfolio monitoring frameworks.

- Ensure timely review and enhancement of risk frameworks based on regulatory and market developments.

8. Stakeholder & Team Management:

- Work closely with CRO, Credit, Business, Product, Technology, Data Analytics, Operations, Collections, Legal and Compliance teams.

- Lead cross-functional risk analytics and transformation initiatives.

- Build and manage high-performing analytics/risk teams.

- Present complex analytical findings in a clear and commercially relevant manner to senior management.

Key Skills & Expertise:

Mandatory:

- Credit Risk Analytics

- Portfolio Risk Analytics

- Large-scale Lending Data Analysis

- Data Modelling / Statistical Modelling

- PD - Probability of Default

- LGD - Loss Given Default

- ECL - Expected Credit Loss

- Credit Scorecards / Risk Scorecards

- Portfolio Monitoring

- Vintage Analysis

- Delinquency / Roll-rate Analysis

- Early Warning Indicators

- Stress Testing

- Risk Segmentation

- Predictive / Statistical Analytics