Risk AI Data Scientist
Core
Integrating advanced AI capabilities (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 credit risk, RAG systems for policy interaction, and agentic workflows for risk managers.
Domain
Banking / Financial Risk / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, PyTorch/TensorFlow, HuggingFace (Transformers, PEFT), LangChain/LlamaIndex, Vector Stores (FAISS/Vertex Search), Google Cloud Platform (Vertex AI), Azure DevOps, end-to-end pipeline design
Preferred skills
SAS, Agile/Scrum, AI (risk) governance
Technologies
Llama, Mistral, GCP GPUs, LangGraph, FAISS, Vertex Search, Azure DevOps
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, Work with large-scale unstructured data (documents, PDFs, OCR), Design and implement agentic AI workflows, Build NLP pipelines to extract complex signals from unstructured text
Seniority
Senior, hands-on IC