Anti Financial Crime and Fraud Prevention Analytics Manager

Bachelor’s degree in Computer Science, Data Science, Statistics, Finance, Economics, or a related field. Proficiency with data analysis tools (e.g., SQL, Python, PySpark) and visualization platforms. Experience implementing and managing transaction monitoring systems, customer risk scoring, and AML/KYC technologies. Strong analytical skills with the ability to interpret data and identify patterns of financial crime risk. Deep understanding of financial services regulations and emerging financial crime typologies.

Develop and manage Imprint’s Anti-Financial Crimes (AFC) program, including policies, procedures, and internal controls. Design and implement frameworks to monitor transaction flows to identify suspicious or unusual activity. Leverage graph databases to identify fraud rings looking to commit fraud and financial crime Define & create monitoring dashboards to monitor health of portfolio and ensure appropriate alerts are triggered for anomalous signal. Back-test and refine alert/rule thresholds; optimize detection logic to minimize false positives without compromising hit-rate. Perform customer due diligence, periodic reviews of high-risk accounts, and ongoing risk assessments of the cardholder base. Develop and define Enhanced Due Diligence procedures to be implemented by Operations team Perform data extraction, enrichment, anomaly detection and pattern analysis. Automate processes to help scale AML & Fraud processes in a high-volume credit card company. Monitor evolving regulatory requirements and industry trends, recommending enhancements to maintain best-in-class controls. Provide ongoing training and guidance to internal teams to enhance AFC and Fraud awareness.