Data Scientist

About […] Founded in 2016, […] is the leading account verification platform, relied upon by 250+ banks and thousands of organizations, to prevent fraud, misdirected payments, and reputational damage. Headquartered in Utrecht, we are scaling our platform and our team across Europe and beyond.

As part of […]’s strategic growth, we are expanding beyond our core Account Verification services to launch an integrated suite of actionable Fraud and AML risk intelligence products. To drive this, we have established a dedicated domain: Fraud Risk Intelligence. You will join a focused cross-functional team and your primary anchor project is designing and launching our centralized transaction risk-scoring engine.

Within the team, you will collaborate closely with our other Data Scientist, focussing on translating complex statistical concepts into modular, production-ready prototypes.

include: Build quick-turnaround ML prototypes to validate hypotheses and identify signal quality Work closely with product and ML engineering to turn POCs into scalable systems Explore financial datasets to uncover patterns, edge cases, and insights Select the right algorithms based on the problem (supervised, unsupervised, anomaly detection, etc.) Fine-tune models with awareness of overfitting, false positives, and interpretability Help define how we measure success for fraud detection (e.g., recall vs. precision, AUC, business cost) About you This is an early sta