Risk AI Data Scientist: GenAI for Banking Risk

ING Hubs B.V. sp. z o.o. Oddział w Polsce; Warszawa; On-site; PLN 145,080 - 245,520; Full time

Job summary

ING Hubs Poland is seeking a Risk AI Data Scientist to integrate advanced AI into the bank's risk framework, focusing on credit risk model maintenance. You will work with LLMs, GenAI, and RAG, handling unstructured data and building end-to-end pipelines in Azure DevOps.

The role requires a Master’s degree in a related field and 7+ years in risk management, with strong Python/SQL skills and experience in PyTorch/TensorFlow, HuggingFace, and GCP.

Qualifications

• Master’s degree in mathematics, economics, or related field.
• 7+ years of experience in risk management.
• Advanced proficiency in Python, SQL, and PyTorch/TensorFlow.
• Experience with HuggingFace, LangChain, LlamaIndex, and vector stores FAISS/Vertex Search.
• Skill in designing and optimizing RAG pipelines.
• Ability to manipulate structured and unstructured data for risk management.
• Experience with Google Cloud Platform Vertex AI and Workbench.
• Strong experience with Azure DevOps (Git, Pipelines).
• Proficiency in end-to-end data → model → deployment pipelines.

Responsibilities

• Develop and fine-tune open-weight models on GCP GPUs for risk management.
• Evaluate and monitor GenAI systems for hallucinations, quality, and drift.
• Design and implement RAG systems to access internal policies and docs.
• Handle large-scale unstructured data (documents, PDFs, OCR).
• Create LangChain/LangGraph workflows for multi-step risk tasks.
• Build NLP pipelines to extract signals from unstructured text.
• Write clean, modular Python code in Azure DevOps for deployment.

Skills

Python

SQL

PyTorch

TensorFlow

HuggingFace

LangChain

LlamaIndex

FAISS

Vertex Search

GCP

Azure DevOps

Education

Master’s degree in mathematics

Master’s degree in economics

Related field

Tools

Azure DevOps

Job description

ING Hubs Poland is seeking a Risk AI Data Scientist to integrate advanced AI into the bank's risk framework, focusing on credit risk model maintenance. You will work with LLMs, GenAI, and RAG, handling unstructured data and building end-to-end pipelines in Azure DevOps.

The role requires a Master’s degree in a related field and 7+ years in risk management, with strong Python/SQL skills and experience in PyTorch/TensorFlow, HuggingFace, and GCP.