Build and maintain fraud detection models for ACH, Mobile Check Deposit (MCD), and Zelle. Monitor model performance, investigate fraud trends, and update models as patterns change. Work independently using Python and SQL.
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.
QualificationsMasters in Eco/Stats/Engineering
EXL Pune, Mahārāshtra, IND Office
Pune, India
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