Description
Nium offers a Sr Data Scientist role in its Fraud & Loss Prevention team, focusing on developing AI/ML models to identify risks while ensuring these models are auditable, explainable, and compliant with data privacy laws.
The role involves understanding the coverage and accuracy of existing rules for anti-money laundering and financial crimes, supporting rules management, and ensuring data integrity across compliance and financial crime functions.
Key responsibilities include:
- Designing, deploying, and monitoring predictive models and AI algorithms to detect anomalies, fraud, or potential breaches
- Conducting deep-dive analyses into risk events to improve risk strategies and operational workflows
- Analyzing large datasets to identify patterns, anomalies, and emerging risks
- Performing data validation, cleansing, and reconciliation for regulatory reporting
- Ensuring alignment with regulatory requirements by building scalable reporting platforms and documenting data protocols
- Partnering with legal, product, and operations teams to translate complex technical findings into actionable business insights for senior management
- Maintaining auditability, traceability, and evidence generation within systems
Requirements include a degree in Statistics, Mathematics, Data Science, Economics, or a related quantitative field, 4-6 years of experience in data science or machine-learning roles, proficiency in model development techniques, and prior experience in financial services or fintech.
Nium offers competitive salaries, performance bonuses, equity, medical coverage, a 24/7 employee assistance program, generous vacation programs, and a flexible working environment.