How can Home Credit balance increasing loan approval rates with maintaining responsible lending practices for its cash loans?

Introduction

Balancing increased loan approval rates with responsible lending practices for Home Credit's cash loans presents a critical trade-off. This scenario involves weighing the potential for business growth against the risks of defaults and regulatory compliance. I'll analyze this trade-off by examining key metrics, stakeholder impacts, and potential experiments to inform a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming Home Credit is facing pressure to grow its loan portfolio. Could you provide more context on the current market conditions and competitive landscape?

Why it matters: Helps understand external factors influencing the decision Expected answer: Increasing competition, market saturation Impact on approach: Would emphasize differentiation strategies in lending criteria

• Business Context: Based on the focus on increasing approval rates, I'm thinking revenue growth is a key priority. How does this align with our current financial targets and risk appetite?

Why it matters: Aligns solution with business objectives Expected answer: Moderate growth targets with conservative risk profile Impact on approach: Would balance growth initiatives with robust risk assessment

• User Impact: Considering the focus on cash loans, I'm assuming we're targeting a specific customer segment. Can you elaborate on the primary user demographics and their typical loan purposes?

Why it matters: Informs tailored lending criteria and risk assessment Expected answer: Mix of personal and small business loans, varied credit histories Impact on approach: Would suggest segmented approach to lending criteria

• Technical: Given the need for responsible lending, I'm thinking we might need to enhance our credit scoring models. What's our current technical capability for integrating alternative data sources or machine learning models?

Why it matters: Determines feasibility of advanced risk assessment Expected answer: Some ML capabilities, room for improvement in data integration Impact on approach: Would include recommendations for technical upgrades

• Resource: Considering the potential changes to our lending practices, I'm curious about our current team structure. Do we have dedicated risk management and data science teams to support this initiative?

Why it matters: Assesses internal capacity for implementing changes Expected answer: Small risk team, growing data science capabilities Impact on approach: Would include recommendations for team expansion or upskilling