Risk AI Data Scientist
ING Nederland
Risk AI Data Scientist
We are looking for a Risk AI Data Scientist to drive the integration of advanced AI capabilities into the bank's overall risk management. You will operate at the intersection of risk management practices, model lifecycle governance, and advanced AI, building production-ready, compliant solutions. The role requires 7+ years of risk management experience and expertise in Python, SQL, PyTorch/TensorFlow, and GenAI technologies.
Risk AI Data Scientist
We are looking for a Risk AI Data Scientist to drive the integration of advanced AI capabilities into the bank's overall risk management. You will operate at the intersection of risk management practices, model lifecycle governance, and advanced AI, building production-ready, compliant solutions. The role requires 7+ years of risk management experience and expertise in Python, SQL, PyTorch/TensorFlow, and GenAI technologies.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Develop custom models by fine-tuning open-weights models on GCP GPUs for risk management nuances.
- Evaluate and monitor GenAI systems for hallucinations, quality, and drifting.
- Architect Retrieval-Augmented Generation (RAG) systems for interaction with internal documents.
- Work with large-scale unstructured data (documents, PDFs, OCR).
- Design and implement agentic AI workflows using LangChain/LangGraph.
- Build NLP pipelines to extract complex signals from unstructured text.
- Write clean, modular Python code in Azure DevOps ensuring testable and reproducible models.
- Align with model suites across risk domains for AI-powered lifecycle management.