Drimva

JPMorgan Chase

Vice President — Commercial Card & Prepaid Card Fraud Strategy Manager

Tampa, FL · Director · Full-time · Posted Sep 10, 2026

Experience
8+ years; no alternative stated.
Education
Bachelor's degree in Business, Finance, Mathematics, Computer Science, Statistics, or a related discipline.

About the job

Leads a team developing and implementing fraud strategies for Commercial Card and Prepaid Card portfolios, balancing fraud prevention, client experience, and operational efficiency.

What you'll do

  • Own fraud detection performance; identify fraud trends and develop, optimize, and monitor strategies and controls.
  • Lead and develop fraud strategy analysts, and deliver multiple strategic initiatives from requirements and testing through release and validation.
  • Partner across business and technical teams and external stakeholders to assess effectiveness, improve processes, and provide recommendations to senior leadership.

What they ask for

  • 8+ years of experience in fraud strategy, analytics, product management, risk management, or related functions supporting financial services, payments, or operations.
  • Leadership experience managing and developing analytical teams, including performance management, workforce planning, coaching, and talent development.
  • Hands-on experience with Agile methodologies and JIRA; experience with process modeling, governance and controls, and data architecture concepts including ETL, relational databases, and large-scale data environments.
  • Advanced analytical and technical skills, including hands-on SQL and business intelligence/analytics platforms; bachelor's degree in a related discipline.

Nice to have

  • Experience designing fraud strategies, anomaly detection, and fraud risk controls in commercial banking or payments; knowledge of card ecosystems and dispute/chargeback processes.
  • Experience with card processors or fraud platforms such as TSYS, VCAS, Fiserv, or MPTS; card network relationship management; familiarity with machine learning concepts.

Tools

JIRA, SQL, Tableau, Qlik, Alteryx, Python, R, SAS

AI focus

Familiarity with machine learning concepts and partnering with data science teams on feature design, model development, and performance management is preferred.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)