Anti Financial Crime and Fraud Prevention Analytics Manager, Imprint

• 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

Desirable

• Join our mission-driven credit card startup as an Anti Financial Crimes (AFC) and Fraud Prevention Analytics Manager on the Risk team
• You will play a key role in developing and implementing Imprint’s AML program as well as fraud prevention strategies
• You will focus on anomaly detection, transaction monitoring, customer risk management, and compliance system implementation
• Your expertise will ensure that Imprint maintains robust financial crime prevention practices while balancing customer experience and regulatory requirements, protecting our customers and enabling innovation in our credit products
• The Fraud Strategy team is central to Imprint's success, responsible for enabling sustainable growth by managing financial crime and compliance risks across the business
• We work closely with Technology, Product, Operations and Compliance teams to design and maintain systems that monitor transactions, assess customer risk, and detect suspicious activity
• As the AFC & Fraud Manager, you’ll report to the Director of Fraud Analytics and lead the development of policies, systems, and controls to identify and mitigate AML and fraud risks
• You’ll also collaborate cross-functionally to ensure AML & Fraud considerations are integrated into product design and business operations
• 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