Risk AI Data Scientist

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

Position Overview

ING Hubs Poland is hiring a Risk AI Data Scientist. The role focuses on integrating advanced AI, including large language models and retrieval‑augmented generation, into the bank’s overall risk management framework, with a particular emphasis on credit risk model maintenance.

Salary ranges from 13,000 to 22,000 PLN per month.

Key Responsibilities

• Develop and fine‑tune open‑weight models (e.g., Llama, Mistral) on GCP GPUs to capture nuances of risk management in wholesale/retail banking, credit policies, and financial risk.
• Evaluate and monitor GenAI systems for hallucinations, quality, and drifting.
• Design and implement Retrieval‑Augmented Generation (RAG) systems to support interaction with internal policy documents, regulations, and other documentation in various formats.
• Handle large‑scale unstructured data (documents, PDFs, OCR) as a core part of the role.
• Create agentic AI workflows (e.g., LangChain/LangGraph) where AI components plan, reason, and execute multi‑step tasks for risk managers.
• Build NLP pipelines to extract complex signals (e.g., transaction patterns, legal clauses) from unstructured text and convert them into usable features.
• Write clean, modular Python code in Azure DevOps, ensuring models are testable, reproducible, and ready for deployment.

Required Qualifications

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

Preferred Skills

• Experience working in Agile/Scrum teams.
• Knowledge of AI (risk) governance.

Team Overview

The Integrated Risk team delivers risk identification, aggregation, and insight capabilities at the group level across various risk domains. The team supports model governance, policy and framework oversight, and group‑wide model and implementation activities across ING’s locations.