What improvements could Lentra make to its credit decisioning engine to better assess risk for non-traditional borrowers?

Introduction

To improve Lentra's credit decisioning engine for non-traditional borrowers, we need to focus on enhancing risk assessment capabilities while expanding financial inclusion. I'll outline a strategic approach to address this challenge, considering user segments, pain points, innovative solutions, and key metrics.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking Lentra might be facing challenges in accurately assessing creditworthiness for users without traditional credit histories. Could you help me understand what specific data points or alternative credit signals Lentra currently uses in its decisioning engine?

Why it matters: Determines the baseline for improvement and identifies gaps in current risk assessment. Expected answer: Basic alternative data like utility bills and bank statements. Impact on approach: Would focus on incorporating more diverse and predictive data sources.

• Considering user behavior, I'm curious about the typical profile of these non-traditional borrowers. Can you share insights on their demographics, income sources, and financial behaviors?

Why it matters: Helps tailor the risk assessment model to the specific characteristics of this user group. Expected answer: Primarily gig workers, small business owners, and recent graduates with irregular income. Impact on approach: Would emphasize flexible credit models that account for income volatility.

• Examining external factors, I'm wondering about the regulatory landscape for alternative credit scoring. What are the current compliance requirements and potential upcoming changes that might affect Lentra's approach?

Why it matters: Ensures that proposed improvements align with legal and ethical standards. Expected answer: Increasing scrutiny on AI-based lending decisions and data privacy concerns. Impact on approach: Would prioritize explainable AI models and robust data protection measures.

• Considering Lentra's position in the market, how does the company's risk appetite compare to competitors, and what are the key differentiators in its current credit decisioning process?

Why it matters: Helps balance risk management with competitive advantage. Expected answer: Moderate risk appetite with a focus on technology-driven assessments. Impact on approach: Would explore innovative risk assessment techniques while maintaining prudent lending practices.