Fraud Risk Strategy Manager

Automate the detection of fraudulent money-out transactions, such as but not limited to peer-to-peer (P2P) fund transfer rings using network analytics;

Partner with engineering and operations to develop basic point-of-sale rule strategies to decline compromised cards, Identify multiple patterns of misuse of Current’s various products and develop strategies automatically detect the same

Build monitoring and alerts for early detection and warning of anomalous behavior consistent with “clustered” fraud attacks.

Partner with Engineering, Product, and Operations teams to conceive, design, and monitor fraud strategies to mitigate transaction risk in the most precise manner possible.

Partner with the Data Science team to develop the fraud risk models used at transaction POS and on-going fraud risk management. Design and implement test-and-learn experiments to enable better assessment of impact on customer experience and fraud

Identify and explore new approaches, data sources/vendors and potential partnerships to support improvements to existing and new programs; implement these tools as needed

5+ years of applicable experience in a Fraud Risk strategy/analytics role in the financial industry.

Proficient in SQL, Python and other analytical tools

Experience in application and transaction fraud management in fintech, consumer lending or banking.

Prior experience managing data driven fraud risk strategies is a must.

Minimum Bachelor’s Degree in a quantitative field such as Finance, Economics, Mathematics, Computer Science or equivalent.

Highly Analytical