Review accounts and fraud cases to identify risk-separating behaviors
Extract data using SQL and perform ad hoc analysis
Develop machine learning models using tools such as Python
Optimize prompts for agentic AI to automate the detection of high-risk behavior and generate actionable outputs
Design and monitor fraud mitigation strategies that minimize friction for legitimate applicants, including oversight of step-up and manual review processes
Develop and execute strategies to identify and investigate accounts opened under suspected ID theft or unauthorized 3rd party, coordinating with various teams to reduce fraud claims
Oversee relationships and integrations with external data providers and scoring vendors
Conduct root cause analysis on early defaults and fraud claims defects
Develop and maintain reports to measure progress against strategic business goals
Work with autonomy and be proactive in identifying opportunities
Partner with underwriting, operations, analytics, portfolio strategy, customer experience, legal and compliance

Sound knowledge of working with large datasets using SQL and Python
Strong background in building, developing and maintaining reporting in Tableau
A hands-on attitude with the ability to prioritize and multitask deliverables
Excellent communication and organizational skills
3+ years of analytical experience in consumer or business lending, preferably in credit risk or fraud

Risk Analyst, Fraud Operations

Key skills