David Burna

Director, Fraud Risk Analysis - Epayments @Fiserv

Oak Park, IL, US

Practice lead and program manager for Fiserv’s Risk Analytics Digital Payment Solutions practice. This includes oversight and management of Machine Learning (ML) risk models, client relationships, education and outreach, and practice management.• Oversight and management of Zelle – Fraud Prevention Management and Execution Program (FPMEP), working directly with clients to improve their fraud risk performance. Efforts have dropped client fraud rates from 30-200%.• Transitioned all risk models from rules-based to ML models in 20••••22.• Developed ML risk models improving fraud mitigation performance for clients by 10-20%.• Implemented scalable service ticket response program reducing service times from 10 days to less than 1 day.• Collaborated with Fiserv training team to provide online/video training and knowledge base articles for client education and internal training.• Developed training program for client service managers to connect subject matter experts with client financial institutions, better serving customers and providing greater scalability for technical resources.• Provided rapid response for all digital payment fraud and account takeover scenarios.• Managed team of risk analysts, mentored staff, and reviewed all fraud/risk models and documentation deliverables.Responsibilities include- Managing, mentoring, and developing a specialized team- Building sophisticated machine learning fraud models to manage fraud losses and optimize client experience for payment products- Directly influencing payments risk roadmap to future proof Fiserv capabilities- Developing risk strategy for new payment products- Working with risk engineering and product development teams on risk management features and variables- Conducting regular client meetings for reviewing model and risk monitoring performance including tactical check-ins and reviews- Continuously evaluating current Fiserv\'s fraud toolset and testing external risk vendors on efficiency

Princeton University

BS EECS

Harvard University

MPP

University of Michigan

MSCS