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