Chief Manager - Credit Policy | Portfolio Management

Job Purpose:

This role is responsible to lead the development and oversight of Credit Policies for the Consumer Durable Loans portfolio. The ideal candidate will have a strong understanding of consumer lending risk, product-specific dynamics, and customer behavior in the consumer finance space, particularly within banks or NBFCs.

Key Responsibilities:

• Develop and manage credit policies for consumer durable loans across various products and geographies.
  
• Design rule-based or scorecard-driven underwriting criteria in line with risk appetite and market trends.
• Work closely with OEMs, retailers, and sales finance teams to align credit policies with business strategy.
• Monitor portfolio performance, delinquencies, and credit cost; recommend policy changes to maintain portfolio health.
• Leverage customer, bureau, and alternate data to refine segmentation and enhance decision accuracy.
• Coordinate with product, technology, and analytics teams to implement policies within digital and assisted journeys.
• Ensure compliance with internal credit standards, regulatory guidelines, and audit requirements.
• Conduct regular policy reviews and provide insights for new product launches or strategic partnerships.

Job Requirements:

• Post Graduate / MBA
• 8+ years of experience in credit policy, preferably with exposure to Consumer Durable Loans in a Bank or NBFC
• Experience working with fintech partners or embedded finance models
• Understanding of retail merchant network dynamics and POS financing
• In-depth understanding of consumer durable finance, including EMI schemes, zero-cost financing, and manufacturer-led subvention models.
• Strong expertise in credit policy formulation, risk assessment, and scorecard development
• Experience with credit bureau data, partner integrations, and digital credit decisioning tools
• Strong analytical and communication skills with experience in cross-functional collaboration
• Proficiency in Excel, SQL, and analytics platforms (SAS, Python preferred)