Senior Data Scientist, Analytics (Risk & Fraud)
Core
Building a centralized risk platform using advanced analytics and machine learning to enable real-time decisioning, financial crime detection, and prevention for global businesses.
Role type
Senior Data Scientist (Risk & Fraud)
Builds
Risk detection frameworks, compliance impact analysis, and financial crime prevention solutions.
Domain
Fintech / Global Payments / Financial Crime
Deliverable
production ML models
Required skills
Risk management, SQL, Python, R, data visualization (Looker/Tableau), stakeholder management
Preferred skills
Analytical thinking, consensus building, cross-functional collaboration
Technologies
SQL, Python, R, Looker, Tableau
Responsibilities
Craft and refine risk strategies including controls and workflows; Use data-driven insights to measure performance and optimize solutions; Communicate business strategies and present recommendations to senior management; Collaborate with internal and external partners to execute fraud risk solutions
Seniority
Senior, hands-on IC