Vice President – Retail Credit Policy

This is a fully remote position, open to applicants in India.

📋 Description

• Oversee the risk strategy and performance management of unsecured retail assets, which include credit cards, personal loans, BNPL, and various digital lending products.

• Take ownership of the comprehensive risk decision framework encompassing acquisition, account management, line assignment, pricing, collections, and customer lifecycle management.

• Employ advanced analytics, segmentation, and AI/ML models to enhance growth, ensure credit quality, improve customer outcomes, and achieve risk-adjusted profitability.

• Deliver forward-looking portfolio insights, risk appetite recommendations, and timely actions to senior leadership to manage losses, returns, and capital consumption within established plans.

• Develop and implement portfolio strategies that align with the approved risk appetite, growth objectives, and regulatory requirements.

• Manage portfolio performance metrics such as approval rates, activation, utilization, balances, yield, delinquencies, roll rates, loss rates, risk charge, vintage performance, expected credit loss, capital, and risk-adjusted returns.

• Create detailed segmentation based on customer, product, channel, employer, income, and behavioral factors.

• Design and oversee risk decision frameworks that include eligibility, score cut-offs, affordability, limits, tenor, pricing, line management, cross-sell opportunities, collections, and exit strategies.

• Lead champion-challenger tests and controlled experiments; establish success metrics, guidelines, and monitoring processes post-implementation.

• Collaborate with data science teams to create, validate, and implement application, behavioral, propensity, fraud, and early-warning models.

• Establish responsible AI and model governance standards, ensuring explainability, fairness, drift management, stability, overrides, monitoring, and human oversight.

• Develop executive dashboards, forecasts, and scenario analyses that connect risk drivers to revenue, margin, credit costs, operating expenses, capital, and lifetime customer profitability.

• Define early-warning indicators, portfolio triggers, and remediation playbooks.

• Provide independent challenges to retail credit risk for new products, partnerships, fintech initiatives, and significant changes in customer journeys or decision engines.

• Ensure adherence to Central Bank regulations, internal policies, model risk standards, consumer protection expectations, and audit requirements.

• Lead, mentor, and develop a high-performing portfolio analytics team while strengthening data-driven decision-making across Retail Banking.

⛳️ Requirements

• A Bachelor’s degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Data Science, or a related quantitative field.

• A postgraduate qualification is preferred.

• Typically requires 12–15 years of experience in retail credit risk, portfolio management, or risk analytics.

• Significant leadership experience with direct involvement in credit cards, personal loans, and digital lending/BNPL.

• Demonstrated ownership of strategies related to acquisition, account management, vintages, roll rates, delinquency, loss forecasting, provisions, risk-adjusted profitability, limit management, collections strategies, and portfolio optimization.

• Strong proficiency in statistical analysis, experimentation, segmentation, forecasting, scorecards, and AI/ML applications across underwriting, behavioral risk, propensity, fraud, and early warning.

• Practical expertise in SQL and at least one analytical programming language such as Python, R, or SAS.

• Solid working knowledge of Power BI/Tableau, large datasets, data pipelines, and cloud analytics environments.

• Proven ability to convert analytics into actionable cut-offs, pricing, limits, treatments, and growth strategies with clear economic implications, controls, and performance measurement.

• Comprehensive understanding of model risk, responsible AI, explainability, fairness, data privacy, consumer protection, IFRS 9/provisioning concepts, and Central Bank regulations applicable to retail lending.

• Exceptional executive communication, stakeholder influence, and people leadership skills.

• Capability to constructively challenge and present complex risk-return decisions to senior committees.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health and wellness programs.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements to support work-life balance.

• Engaging company culture focused on innovation and teamwork.