Analyst, Lending Models

Overview

Analyst, Lending Models will build, implement, monitor, and optimize statistical and machine learning models and policy rules that support automated lending decisions.

What you'll do

• Design and refine models supporting automated lending decisions.
• Develop and deploy credit risk models in Python across the model lifecycle.
• Run ad-hoc analysis to optimize credit policy rules and decisioning flows.
• Produce regular scorecard and decisioning monitoring (e.g., stability, calibration, segment performance).
• Automate monitoring packs and controls to flag performance and data-quality issues.
• Recalibrate or redevelop models as portfolio experience matures.
• Lead root-cause investigations for model or decisioning underperformance.

What you'll need

• At least 4 years’ hands-on risk modelling experience.
• Hands-on experience with logistic and linear regression and machine learning models.
• Comfort working with large datasets and using Excel, SQL, Python, and BI tools.
• Python coding experience and comfort using GenAI tools to improve coding productivity.
• Understanding of credit and lending concepts, preferably commercial lending.
• Experience documenting models/rules/assumptions with a governance-oriented mindset.

Details

• Location: Delhi.
• Flexible and hybrid working is mentioned.