Data Scientist – KYC Risk Modelling

About the role

Triodos Bank is looking for a Data Scientist specialized in KYC risk modelling to strengthen its Data & Analytics department. You will work on the technical side of Know‑Your‑Customer (KYC) and Financial Crime (FC) risk models, ensuring they are robust, transparent and well‑managed across all branches.

Key responsibilities

• Design, build and maintain risk models and analytical solutions with a focus on data quality and reproducibility.
• Own and enhance the model management lifecycle, including development, implementation, documentation, monitoring, validation support and periodic review.
• Translate risk requirements into technical specifications, data pipelines and model designs.
• Collaborate with KYC & FC risk experts to align solutions with regulatory expectations and business needs.
• Contribute to a consistent model governance framework across all Triodos Bank locations.
• Implement machine‑learning techniques to accelerate business processes.
• Promote best practices in version control, testing, model performance monitoring and explainability.
• Support D&A and Risk teams with ad‑hoc analyses and insights.

Required profile

• Motivated by purpose and impact, with a strong sense of integrity in finance, KYC and data.
• Comfortable navigating complex stakeholder landscapes.
• Experience in a regulated environment, preferably financial services.

Required skills

• Python
• SQL
• Machine Learning / AI techniques
• Statistical modelling
• Data pipelines
• Version control (e.g., Git)
• Testing and model performance monitoring
• Explainability of models