Lead Data Scientist - Fraud (Hybrid)
Core
Lead Data Scientist driving fraud prevention by developing, deploying, and monitoring ML models and pattern-recognition pipelines for lending products.
Role type
Senior IC Lead Data Scientist (Fraud Analytics)
Builds
Production fraud detection models and pattern-recognition pipelines for lending products
Domain
Fintech / Lending / Fraud Prevention
Deliverable
production ML models
Required skills
Applied machine learning, Python, SQL, end-to-end model ownership, fraud analytics, risk modeling, team leadership, stakeholder communication
Preferred skills
Fintech or lending domain experience, AI in production applications
Technologies
Python, SQL
Responsibilities
Develop, deploy, and monitor models to detect emerging fraud trends; Write customized Python programs for predictive modeling; Partner with Fraud Operations to refine features and reduce false positives/negatives; Conduct ad hoc analysis on complex datasets to scope new fraud trends; Help improve underwriting and verification processes from a fraud-risk perspective; Manage team members and coordinate work with business priorities
Seniority
Senior, hands-on IC with leadership responsibilities
