Principal, Fraud Analytics
Core
Lead the strategic development and execution of advanced analytics and data-driven solutions to combat fraud across the client portfolio, shaping fraud detection capabilities and driving innovation.
Role type
Principal, Fraud Data & Analytics (Strategy & R&D)
Builds
Enterprise-scale fraud detection solutions, advanced analytics models, and fraud intelligence products
Domain
Financial services / Credit risk / Fraud analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Strategic leadership, fraud typologies expertise, machine learning, behavioral analytics, Python, R, SQL, cloud platforms, financial crime risk knowledge, budget management
Preferred skills
Advanced degree in quantitative field, experience presenting at industry conferences
Technologies
Python, R, SQL, cloud-based data platforms
Responsibilities
Define and execute the vision for fraud analytics, lead development of advanced fraud detection models using AI/ML, serve as trusted advisor to clients translating fraud trends into recommendations, oversee development of machine learning models and rules engines, partner with product teams to embed analytics into fraud solutions, establish KPIs and dashboards to monitor fraud trends and model performance
Seniority
Principal, strategy & mentorship