Data Scientist - KYC Risk Modelling

The Data Scientist - KYC Risk Modelling at Triodos Bank, a frontrunner in ethical banking, focuses on developing robust, explainable, and well-managed risk models throughout their lifecycle. This role within the Data & Analytics department involves designing, building, and maintaining KYC & Financial Crime (KYC&FC) risk models and analytical solutions, emphasizing data quality, reproducibility, and technical excellence. Key responsibilities include owning and enhancing the model management lifecycle, translating risk requirements into technical specifications, and implementing machine learning techniques (AI/ML). The specialist will work closely with KYC & FC risk model experts, ensuring technical solutions align with regulatory expectations and business needs. The role requires applying statistical models and machine learning techniques, balancing predictive performance with explainability, stability, and regulatory compliance, avoiding "black box" solutions. The technical stack involves strong hands-on skills in Python and SQL, with practical experience developing and running models on Databricks, including notebooks, jobs, and structured environments. Promoting best practices in data and model management, such as version control, testing, and model performance monitoring, is also a core part of the role.