Data Scientist
Core
Build statistical and machine learning models to detect, predict, and prevent financial crime, fraud, and anomalous payment behavior within a global payments network.
Role type
Postgraduate-level Data Scientist (Financial Crime & Payments)
Builds
Production ML models for fraud detection, intelligent payment routing, and foundation models for payments intelligence
Domain
Fintech / Payments / Financial Crime Prevention
Deliverable
production ML models
Required skills
Statistical theory and methods, Python (pandas, NumPy, scikit-learn), PyTorch, SQL, Machine learning fundamentals, Data wrangling
Preferred skills
CUDA / GPU computing, Deep learning, Model deployment and monitoring
Technologies
PyTorch, CUDA, GPU
Responsibilities
Design and build ML models for fraud detection; Contribute to the full data science lifecycle from exploration to deployment; Develop deep learning solutions; Translate analytical findings into actionable recommendations; Collaborate with global cross-functional teams; Apply rigorous statistical methods for regulated environments; Contribute to engineering practices like code quality and reproducibility
Seniority
Mid-level, hands-on IC
