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SurePay

Real-time IBAN name verification for payments

Data Scientist

Data ScienceUpdated on Nov 12
Full-timeUtrecht, Netherlands

About the Job

Requirements

  • At least 5 years of experience in Data Science roles; experience in fraud, security, or high-noise domains is ideal.
  • Strong statistical and analytical skills, including the ability to reason clearly about data and model performance.
  • Proficiency in Python and key machine learning libraries such as pandas, scikit-learn, PyTorch, and MLflow.
  • Experience designing, tuning, and evaluating machine learning models.
  • Knowledge of data pipelines, basic backend development, and infrastructure awareness.
  • Familiarity with model interpretability tools and techniques.

Responsibilities

  • Build quick-turnaround machine learning prototypes to validate hypotheses and identify signal quality.
  • Work with product and machine learning engineering to turn proofs of concept into scalable systems.
  • Explore financial datasets to uncover patterns, edge cases, and insights.
  • Select suitable algorithms for each problem, including supervised and unsupervised methods and anomaly detection.
  • Fine-tune models with attention to overfitting, false positives, and interpretability.
  • Help define fraud-detection success measures, such as recall versus precision, area under the curve, and business cost.

About the Company

SurePay

Real-time IBAN name verification for payments

SurePay provides real-time payment verification that checks whether the recipient’s name matches their IBAN to prevent fraud and misdirected payments. Its IBAN-Name Check operates in real time, and the 24/7 IBAN-Naam Check Portal serves businesses, with expansion into corporates and cross-border Confirmations of Payee through partnerships with SEPAMail.eu and StreamMind. The offering combines widespread Dutch adoption with an accessible business portal and international cross-border checks to connect banks across regions. The goal is to increase payment security and efficiency by reducing fraud and misdirected payments for individuals and businesses.

Company size
51-200
Company stage
Late Stage VC
Total funding
$13.2M
Headquarters
Utrecht, Netherlands
Founded
2016

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