Job Purpose
We are looking for a leader who can build and run AI product Pods for Credit Risk, Fraud Risk Management, and collection & recovery. This role will power next-generation decisioning across lending lifecycle- understanding lifecycle- underwriting, portfolio monitoring, fraud controls, early warning, allocation strategy optimization, and recovery uplift – by delivering production-grade ML systems with measurable impact. This is highly cross-functional role requiring deep technical leadership, strong execution discipline, and hands-on experience operating large scale distributed machine learning frameworks. (Training + fine-tuning + serving) under BFSI governance, security, and model risk constraints.Duties and Responsibilities
Own the AI Pod operating model across Credit Risk, Fraud/FRM, and collections/Recovery: outcomes,

roadmap, delivery cadence, and cross-team dependencies.

· Lead end-to-end model lifecycle: problem framing, feature strategy, training, evaluation, development,

monitoring, and continuous improvement with explicit scorecards per use-case.





· Build large-scale ML systems: distributed training pipelines, feature stores, model registry, CI/CD for ML, and

scalable batch + near-real-time scoring services.

· Deliver Credit & Risk models: application/behavior risk models, limit assignment, early warning signals,

portfolio monitoring, and policy optimization.

· Deliver Frau & FRM systems: fraud propensity/risk scoring, anomaly detection, identity/device/channel

signals using Graph Machine Learning.

· Deliver collection & recovery optimization: roll-rate/cure/flow models, contactability, propensity-to-pay and

recovery forecasting.

· Define operating models: SLIs/SLOs, incident response, and stakeholder cadence.

· Hire, develop, and scale the team: drive standards for quality, safety, and reliability.Required Qualifications and Experience
Basic Qualifications:

· Bachelor’s/Master’s in CS/Math/Engineering (PhD preferred in Large scale Mac

📌 National Lead (Pune)
🏢 Bajaj Finance
📍 Pune