Fraud Analytics Lead to design rules and machine learning strategies that lower losses without hurting good customer approvals.
Requirements
- 7 to 10 years in fraud analytics for a bank or fintech with measurable loss reductions
- Strong SQL and Python and experience with feature stores and real time scoring Kafka or Kinesis and Spark or Flink
- Knowledge of RTP and FedNow and ACH and card fraud patterns and first party and third party and mule activity
- Experience with step up controls device and behavior signals velocity limits MFA and SCA
- Familiarity with Reg E and network dispute flows and chargeback life cycle
Benefits
- Consultant pay $50 to $120 per hour based on rail coverage and tool depth
- Contract Remote US W2 or 1099