Risk AI Data Scientist

Description

ING Hubs Poland is hiring!

Nr ref.

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Spółka

• ING Hubs

Kategoria

• Data Science

AI Engineer

• We are looking for an AI Engineer to drive the integration of advanced AI capabilities into the bank’s overall risk management (out of which Credit risk model maintenance is one of them).

Lokalizacja

• Warsaw, Poland

Data publikacji

• 10.07.2026

Poziom stanowiska

• Professional

Your responsibilities

• Design and implement agentic AI workflows (ADK) for risk domain

• Evaluate and monitor GenAI systems in this context (e.g. hallucinations, quality, drifting)

• Work with large-scale unstructured data (documents, PDFs, OCR) as a core part of the role

• Build NLP pipelines to extract complex signals (e.g. transaction patterns, legal clauses) from unstructured text and convert them into usable features

• Prototype custom models by fine-tuning open-weights models (e.g., Llama, Mistral) on GCP GPUs to understand the specific nuances of risk management in wholesale/retail banking, credit policies, and financial risk (exploration, production and scaling)

• Write clean, modular, production-ready Python code for models, workflows and application components.

You'll get extra points for

• Experience working in Agile/Scrum teams

• Experience in software engineering

• Hands-on with transformers architecture and model fine-tuning

• Knowledge on AI (risk) governance

We are looking for you, if you have

• Advanced Python practice in AI solutions (including PyTorch/TensorFlow experience)

• Hands-on experience in building LLM-powered applications and Agentic AI workflows

• Experience in manipulating and governing structured and unstructured textual and numerical data

• Practical knowledge of Google Cloud Platform (Vertex AI, Workbench, ADK)

• Strong experience with Azure DevOps / GitHub ops

• Experience with end-to-end pipelines (data → model → deployment)

• Master’s degree in computer science, mathematics or economics