Help keep JPMorganChase strong and resilient by tackling real-world fraud and scam threats. As part of Trust and Security, you’ll use data and creativity to improve protections while supporting responsible growth. You will collaborate with product and technology partners to deliver best-in-class fraud-fighting capabilities. We value analytical problem solvers who challenge the status quo and focus on practical, customer-aware solutions.
As a Wrongdoer Strategy Analyst in the Trust and Security team, you will use analytics to develop strategies and actions that balance tradeoffs among fraud losses, operational expenses driven by fraud controls, and customer experience impacts. You will partner closely with Fraud Risk technical product teams and collaborate across Consumer and Business Banking, Operations, Technology, and Product teams to execute a prioritized portfolio of work that improves fraud and scam prevention.
Job Responsibilities
- Develop data-driven strategies to address evolving fraud and scam threats and improve fraud-fighting outcomes
- Analyze large, complex datasets to identify fraud behaviors, trends, and emerging attack patterns
- Monitor portfolio performance and fraud trends to diagnose gaps in controls and recommend actionable improvements
- Define requirements for new fraud-fighting capabilities, including model-driven solutions, and partner with technical teams to deliver using Agile practices
- Translate analytical findings into clear insights and recommendations that balance fraud losses, operational impacts, and customer experience friction
- Build and maintain cross-functional partnerships to align on priorities and execute a shared roadmap of initiatives
- Manage multiple priorities in a dynamic environment and support timely response to emerging issues
Required Qualifications, Capabilities, and Skills
- Minimum 2 years of professional experience in risk management, strategic analytics, data science, or a related field
- Strong analytical and problem-solving skills, with ability to assess data-driven impacts across operational and financial dimensions
- Ability to synthesize complex analysis into concise, executive-ready presentations with clear business conclusions
- Demonstrated ability to develop practical solutions to complex business problems
- Proficiency in one or more of SQL, Python, SAS, or R
- Proficiency in Microsoft Excel and PowerPoint
Preferred Qualifications, Capabilities, and Skills
- Experience in fraud, scams, or financial crime analytics
- Demonstrated passion for continuous improvement and process optimization
- Experience partnering with product and technology teams to deliver analytics-driven capabilities
- Familiarity with Agile delivery practices and operating models
- Demonstrated ability to communicate effectively with technical and business stakeholders