Director, Credit Risk Strategy Returning Channel

Applied Data Finance; India; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

Applied Data Finance in India seeks a senior leader to own the end-to-end credit risk lifecycle for our Returning Customer personal loan segment, guiding underwriting, pricing, verification, servicing and line management with ML/AI and alternative data to drive profitable growth.

You will set risk appetite, oversee vintage loss forecasting, governance of policies, and cross-functional collaboration with Finance, Product, Compliance, Operations and Fraud, while leading a distributed team across

Responsibilities

• Own and evolve the Returning channel credit strategy including eligibility, pre-approval, offers, cross-sell and refinances to meet KPIs.
• Define in‑life account management strategies: credit line changes, APR repricing, and reactivation of dormant accounts.
• Partner with Servicing and Collections to optimize the balance between collections and returning-customer strategies.
• Lead ML/AI and alternative data initiatives to improve underwriting precision and returns.
• Oversee risk appetite, loss forecasting and vintage analytics for the Returning book.
• Govern policy, rules and decisioning thresholds end‑to‑end with cross‑functional sign-offs.
• Analyze portfolio performance by segment and communicate data-driven insights to executives.
• Collaborate across Finance, Portfolio Management, Capital Markets, Product, Marketing, Operations, Legal, Compliance, Engineering and Fraud.
• Identify and evaluate new data sources and vendors; manage onboarding decisions and trade-offs.
• Drive a strong test-and-learn discipline with A/B testing and uplift measurement.

Job description

Role Summary

Senior leader accountable for credit underwriting, pricing, verification, account management, line management, and servicing strategy for our Returning Customer channel personal loan business. You will own the end-to-end credit risk lifecycle for existing customersfrom re-underwriting and offer generation through line assignment, pricing, in-life account management, and delinquency/servicing estrategyleveraging ML/AI models, alternative data, and advanced analytics to drive profitable growth while keeping credit and fraud losses within risk appetite.

How You'll Make an Impact

• Returning Channel Credit Strategy Roadmap: Own and evolve the credit, pricing, and verification strategy for the Returning channel covering re-underwriting eligibility, pre-approval and pre-qualification, offer generation, cross-sell/up-sell, and refinance/consolidation strategiesbalancing loss, approval, take-rate, unit economics, and customer experience to meet portfolio KPIs.
• Account Management & Line Management: Define and execute in-life account management strategies credit line increases and decreases, APR repricing, authorization strategy, over-limit tolerance, retention offers, and reactivation of dormant accountsgrounded in behavioral scores, bureau triggers, and payment performance.
• Servicing & Collections Strategy Partnership: Partner with Servicing and Collections to optimize the trade-off between collections effort and returning-customer strategybalancing loss mitigation, right-party treatment, and future eligibility/offer generation so that in-life and post-delinquency actions reinforce lifetime value; align treatments with credit segmentation and expected loss.
• Innovate with ML/AI and Alternative Data: Direct the development and deployment of ML/AI credit and behavioral models, champion/challenger scorecards, and alternative data (cashflow/bank transaction data, employment/income verification, trended bureau attributes) to continually improve underwriting precision and returns.
• Credit Risk Appetite & Loss Forecasting: Ensure credit losses remain within the company's defined risk appetite; oversee vintage-level loss forecasting and roll-rate analytics for the Returning book.
• Policy, Rule & Decisioning Governance: Govern credit policy, rules, cutoffs, and decisioning thresholds end-to-endstandards for proposal, review, approval, deployment, monitoring, retirement, and change controlwith clear sign-off across Risk, Compliance, and Operations.
• Portfolio Monitoring & Segment Analytics: Analyze portfolio performance at a granular segment level (vintage, FICO/Vantage/Clarity band, product, term, loan amount, channel sub-segment, state) on an ongoing basis to identify key drivers, emerging trends, and required strategy actions.
• Executive Communication: Present data-driven recommendations to executive leadership and the Credit Risk Committee, translating complex credit analytics into clear, compelling narratives.
• Cross-Functional Collaboration: Partner with Finance, Portfolio Management, Capital Markets, Product, Marketing, Operations, Legal, Compliance, Engineering, and Fraud to design, implement, and monitor high-performing strategies; represent Returning channel credit in cross-functional prioritization.
• Vendor & Capability Discovery: Identify, evaluate, and build business cases for new bureaus, alternative data sources, verification vendors, and emerging technologies; own commercial trade-offs, benchmarking, and onboarding/retirement decisions.
• Test-and-Learn Strategy Development: Build and lead a strong test-and-learn discipline champion/challenger, policy back tests, holdouts, A/B and multivariate tests, and uplift measurement - to quantify the impact of strategy changes on loss, approval, take-rate, and downstream lifetime value; institutionalize test design, sizing, readouts, and scale-up decisions.
• Regulatory & Compliance Alignment: Ensure Returning channel credit strategy is aligned with applicable US consumer lending regulations and guidance, and partner with Compliance, Legal, and Internal Audit; support adverse action reasoning, model risk management, audits, and regulatory exams.
• Team Leadership: Lead, coach, and grow a distributed team of credit strategists, analysts, and data scientists across US and India; set priorities, performance expectations, hiring plans, and career paths, and cultivate an innovative, open-minded team culture.