обновлено 3 дня назад
Risk AI Data Scientist (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
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