Hiring organization : BFSI Fintech & Financial Services

Salary : 50 LPA – 55 LPA Experience : 8- 12 years

VP Risk GenAI Led Transformation job in Mumbai India :

Job location :Mumbai , Maharashtra, India

Key Responsibilities:

• Lead the strategy, development, and deployment of Generative AI (LLMs) and advanced AI models within the Risk Data Management horizontal. You will manage data engineers and high-potential IIT freshers to build scalable AI assets, focusing heavily on modernizing Retail Credit Risk and Operational Risk across the bank.
• GenAI Strategy: Identify, blueprint, and execute Large Language Model (LLM) use cases like automated credit appraisal memo (CAM) generation, multi-source financial analysis, and AI-powered operational risk loss incident tagging.
• Horizontal Execution: Act as the AI consultant for all 7 risk verticals, with an immediate focus on Retail Credit (automated underwriting, early warnings) and Operational Risk (anomaly detection, control testing automation).
• Team Leadership: Manage and mentor a team of Risk Data Engineers and elite IIT freshers, bridging academic AI knowledge with practical banking applications.
• Pipeline Collaboration: Work closely with the Risk Data Management infrastructure to ingest, clean, and structure unstructured bank data for LLM fine-tuning and Retrieval-Augmented Generation (RAG) pipelines.
• RBI Compliance & Safety: Mitigate risks specific to GenAI, including hallucination management, data privacy (PII masking), model bias, and alignment with Reserve Bank of India (RBI) AI governance norms.

Role Proficiencies:

• Total Experience: 8 to 12 years in analytical or technology transformation roles.
• GenAI/LLM Focus: Minimum 2+ years of hands-on experience building, fine-tuning, or deploying LLM frameworks (e.g., using LangChain, LlamaIndex, vector databases) in a corporate environment.
• Domain Expertise: Strong exposure to financial services, preferably with a deep conceptual grasp of Retail Credit underwriting or Operational Risk frameworks.
• People Management: Prior experience managing young, highly analytical engineering talent (like IIT/NIT grads) and aligning them with business goals.
• GenAI Ecosystem: Python, PyTorch, Hugging Face, OpenAI API/Open-Source LLMs (Llama, Mistral), Vector DBs (Pinecone, Chroma, Milvus).
• • Data Engineering: SQL, Spark, cloud data warehouses (Snowflake, Databricks), and orchestration tools.

Primary Skills:

ython, PyTorch, Hugging Face, OpenAI API/Open-Source LLMs (Llama, Mistral), Vector DBs (Pinecone, Chroma, Milvus)