Risk AI Data Scientist (Fintech)

TL;DR

Risk AI Data Scientist (Fintech): Integrating advanced AI capabilities into bank risk management with an accent on LLMs, NLP, and agentic workflows. Focus on building production-ready RAG systems, fine-tuning open-weights models, and designing cognitive layers for risk governance.

Location: Hybrid in Amsterdam, Netherlands

Company

hirify.global is a global financial institution focusing on innovative banking solutions and risk management.

What you will do

• Fine-tune open-weights models (e.g., Llama, Mistral) on GCP GPUs to address nuances in wholesale and retail banking risk.
• Architect Retrieval-Augmented Generation (RAG) systems for high-precision interaction with internal policy and regulatory documents.
• Design and implement agentic AI workflows using LangChain and LangGraph to support risk managers.
• Build NLP pipelines to extract complex signals from unstructured data such as PDFs and OCR text.
• Write clean, modular Python code in Azure DevOps ensuring models are testable and reproducible.
• Collaborate across risk domains to create value in AI-powered model lifecycle management.

Requirements

• Master’s degree in mathematics, economics, or an equivalent field.
• 7+ years of experience in risk management (experience with risk modelling is a plus).
• Advanced proficiency in Python, SQL, and PyTorch or TensorFlow.
• Experience with HuggingFace (Transformers, PEFT), LangChain/LlamaIndex, and Vector Stores (FAISS/Vertex Search).
• Strong experience with Google Cloud Platform (Vertex AI) and Azure DevOps (Git, Pipelines).
• Knowledge of AI risk governance and experience working in Agile/Scrum teams.

Nice to have

• Experience with SAS.

Culture & Benefits

• Hybrid working model to balance professional and private life.
• Financial perks including a 13th-month salary and 8% holiday payment.
• 25-28 vacation days depending on the contract.
• Comprehensive pension scheme.
• Informal working environment with a focus on personal growth and innovation.