Risk AI Data Scientist
Core
Design and integrate advanced AI (LLMs, NLP, Agentic workflows) into the bank's risk management environment, specifically focusing on credit risk model maintenance and governance.
Role type
Senior IC Risk AI Data Scientist
Builds
Production-ready AI solutions for risk identification, aggregation, and insight capabilities across wholesale/retail banking.
Domain
Banking / Financial Risk / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, PyTorch/TensorFlow, LLM fine-tuning, RAG architecture, NLP pipelines, Agentic AI workflows, GCP, Azure DevOps
Preferred skills
SAS, LangChain/LangGraph, FAISS/Vertex Search, credit risk modelling
Technologies
Llama, Mistral, GCP (Vertex AI, Workbench), Azure DevOps, HuggingFace, LangChain, LangGraph, FAISS, Vertex Search
Responsibilities
Develop custom models by fine-tuning open-weights models on GCP GPUs; Evaluate and monitor GenAI systems for hallucinations and quality; Architect Retrieval-Augmented Generation (RAG) systems; Build NLP pipelines to extract signals from unstructured text; Design and implement agentic AI workflows; Write clean, modular Python code for reproducible deployment.
Seniority
Senior, hands-on IC