Job Description
**Role Summary**
We are establishing a specialized AI/ML team in Mumbai to modernize our Regulatory Reporting function. We are looking for a hands-on technical leader to build and deploy two classes of solutions: (1) Anomaly Detection Models to catch data quality issues before they reach the regulators, and (2) GenAI Workflows (LLMs/Agents) to automate manual reconciliation and document reviews.
Crucially, you will solve the Validation Bottleneck. You will design Human-in-the-Loop (HITL) workflows that make it easy for business users to validate model outputs against legal loan documents, bridging the gap between Black Box AI and auditable regulatory standards.
________________________________________
**Key Responsibilities**
1. ML for Anomaly Detection (The Watchdog)
• Build unsupervised and semi-supervised ML models (e.g., Isolation Forests, Autoencoders) to scan millions of transactional records for outliers.
• The Challenge: Go beyond simple threshold che...
We are establishing a specialized AI/ML team in Mumbai to modernize our Regulatory Reporting function. We are looking for a hands-on technical leader to build and deploy two classes of solutions: (1) Anomaly Detection Models to catch data quality issues before they reach the regulators, and (2) GenAI Workflows (LLMs/Agents) to automate manual reconciliation and document reviews.
Crucially, you will solve the Validation Bottleneck. You will design Human-in-the-Loop (HITL) workflows that make it easy for business users to validate model outputs against legal loan documents, bridging the gap between Black Box AI and auditable regulatory standards.
________________________________________
**Key Responsibilities**
1. ML for Anomaly Detection (The Watchdog)
• Build unsupervised and semi-supervised ML models (e.g., Isolation Forests, Autoencoders) to scan millions of transactional records for outliers.
• The Challenge: Go beyond simple threshold che...