Data Science Manager, Financial Crime
Core
Lead the Financial Crime Data team to build and improve detection, prevention, and mitigation strategies against financial crime threats.
Role type
Senior IC Data Science Manager (Financial Crime)
Builds
Real-time analytics, financial crime detection models, and strategic data initiatives for a digital bank.
Domain
Fintech / Banking / Financial Crime
Deliverable
production ML models | dashboards & analysis
Required skills
Strategic data leadership, team management (hiring/development), stakeholder management (C-level), data-driven decision making, Python, SQL, machine learning, business intelligence, experimentation, causal inference
Preferred skills
Experience in financial crime, fraud detection, Trust & Safety, Integrity, or Security
Technologies
Python, SQL, Looker, Machine Learning frameworks
Responsibilities
Lead a cross-functional team of Data Scientists and Data Analysts; generate insights to shape financial crime strategy; collaborate with Product, Risk, and Engineering to ensure relevant data collection; manage team growth and development; drive data rigor in product development.
Seniority
Senior, hands-on IC with management responsibilities
