Lead Data Scientist - Fraud (Hybrid)

Tech Stack

Responsibilities

• Develop, deploy, and monitor models and pattern-recognition algorithms to detect emerging and shifting fraud trends across lending products
• Write customized programs in Python for predictive modeling and query large datasets in SQL
• Partner closely with Fraud Operations to refine features and reduce false positives/negatives
• Conduct ad hoc analysis on large, complex datasets to scope changing fraud trends and recommend operational strategies
• Manage team members and help coordinate their work with business priorities

Benefits

• 401k
• Health Insurance
• Parental Leave
• Remote Work

Culture

Requirements