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Card Fraud Strategy Analyst Jobs (NOW HIRING)

Card Fraud analysts in the Plastic Card Fraud Unit are cross trained to utilize fraud systems and ... strategies, and to educate members about fraud detection tools available through PSECU's self ...

Card Fraud analysts in the Plastic Card Fraud Unit are cross trained to utilize fraud systems and ... strategies, and to educate members about fraud detection tools available through PSECU's self ...

Analyze fraud detection results to identify false positive and false negative trends and recommend strategy changes * Identify and respond to new and emerging fraud trends, attack patterns, and ...

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Card Fraud Strategy Analyst information

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How much do card fraud strategy analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for card fraud strategy analyst in the United States is $93,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $110,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Card Fraud Strategy Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $93,447 per year, or $44.9 per hour.

Card Fraud Strategy - Senior Associate

Wilmington, DE • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

Other

Re-posted 16 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 176 rated banks


Job description

Bring your expertise to JPMorgan Chase. As part of Fraud Strategy, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real‑world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Strategic Analytics Associate within the Fraud Strategy, you will generate insightful analytics and provide recommendations concerning strategy development, implementation, operational controls, and performance monitoring. Your role will require a deep understanding of the problem universe, data analysis to understand root causes, and the use of analytics to design and implement solutions. You will play a pivotal role in promoting end‑to‑end solutions that mitigate risk while balancing the minimization of revenue loss, operating costs, and customer impacts.

Job 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
Required qualifications, capabilities, and skills
  • MS degree and 2+ years (or BS degree and 4+ years) of experience in risk management/data analytics.
  • Excellent collaboration and partnership skills with proven track record in working well with internal teams and external partners
  • Ability to think strategically to come up with a vison for areas of responsibility, develop roadmaps and drive execution to balance short-term vs long-term solutions
  • Strong knowledge of SAS, SQL, Python and MS Office required
  • Strong analytical thought leadership with the ability to leverage AI and machine learning to drive effective and innovative solutions
  • Strong process management and project management skills with the ability to drive capability development.
  • Strong communication skills with the ability to communicate effectively and strategically to senior leaders and key stakeholders
  • Demonstrated strong curiosity to learn and attention to details to drive analytical and execution quality
Preferred qualifications, capabilities, and skills
  • Relevant fraud experience preferred
  • Product management experience is a plus
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