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Skillset:
- 3–5 years of hands-on experience building fraud models, not just supporting them.
- Direct experience with ACH transaction-level models.
- Direct experience with MCD (Mobile Check Deposit) fraud models.
- Experience with Zelle or other P2P scam models.
- Strong Python and SQL expertise.
- Ability to start fast and work independently with minimal supervision
Responsibilities
- Work on models for ACH, Mobile Check Deposit (MCD), and Zelle scam detection.
- Monitor model performance and update models as fraud patterns change.
- Investigate fraud trends in the data and turn findings into model improvements.
Qualifications
Masters in Eco/Stats/Engineering