Strategic Fraud Analytics Lead

JPMorganChase; Wilmington (DE); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase is seeking a Fraud Strategy & Analytics Manager to design and validate fraud strategies, capabilities, and processes across product, technology and operations.

You will leverage data analysis to uncover root causes, design end-to-end solutions, and balance risk with customer impact while supporting cost efficiency. This role requires leadership in analytics, AI/ML applications, and governance to protect revenue and trust.

Qualifications

• MS degree with 7+ years of risk management/data analytics experience.
• Proven collaboration with internal teams and external partners.
• Strategic thinker who can develop roadmaps and balance short- and long-term solutions.
• Experience product management.

Responsibilities

• Manage and enhance Fraud strategy to drive the intended tradeoff between fraud mitigation, financial performance, customer experience, and operational efficiency
• Regularly monitor fraud trends and customer frictions to identify opportunities to improve fraud strategy performance
• Leverage internal and external data sources and advanced analytic tools to drive accurate fraud detection
• Partner with product, technology, and operations to develop new capabilities for better detection and treatment by helping design solutions, develop requirements and test before and after implementations
• Collaborate closely with broader fraud strategy team and other cross functional teams to leverage best practice and ensure control and compliance
• Stay on top of the industry trends and adopt industry best practices
• Drive concise and effective oral and written communications with internal and external partners at different levels

Skills

Collaboration

Strategic thinking

Analytics leadership

AI/ML for fraud

Project management

Product management

Education

MS degree in risk management/data analytics

Job description

JPMorgan Chase is seeking a Fraud Strategy & Analytics Manager to design and validate fraud strategies, capabilities, and processes across product, technology and operations.

You will leverage data analysis to uncover root causes, design end-to-end solutions, and balance risk with customer impact while supporting cost efficiency. This role requires leadership in analytics, AI/ML applications, and governance to protect revenue and trust.