Commercial Card & Prepaid Card Fraud Strategy Associate

JPMorgan Chase; Tampa (FL); On-site; USD 90,000 - 120,000; Full time

Job summary

JPMorgan Chase in Tampa is seeking an Analytical Associate for Commercial Card Fraud Strategy. You will analyze complex data, identify emerging fraud trends, and develop detection rules to balance risk with client experience in a fast-paced environment.

You will partner across functions to implement and enhance fraud prevention capabilities, translate analytics into clear insights for clients and stakeholders, and help drive end-to-end strategy with strong communication and project management.

Qualifications

• Bachelor's degree in Business, Finance, Mathematics, Computer Science, Statistics, or a related quantitative discipline, or equivalent relevant work experience.
• 2+ years of experience in fraud strategy, analytics, risk management, payments, financial services, or a related field.
• Strong analytical and problem-solving skills with ability to analyze complex data and translate findings into actionable recommendations.
• Experience using SQL, Alteryx, Python or SAS to extract and analyze large data sets.
• Experience with large-scale data environments like Hadoop, Hive, Databricks, SQL Server, Oracle.
• Excellent written, verbal, and presentation skills; ability to translate findings into client-friendly insights.
• Strong project management and organizational skills to manage multiple deliverables.

Responsibilities

• Analyze large and complex data sets to identify emerging fraud trends and relays findings into client-ready insights.
• Develop, optimize, and monitor fraud detection strategies to balance risk and client experience.
• Evaluate strategy effectiveness using key metrics and translate results into recommendations.
• Collaborate with cross-functional partners to implement fraud prevention capabilities and monitoring.
• Document requirements, data flows, risks, and controls; create testing plans and drive execution.
• Present fraud performance insights and trends to internal stakeholders and external clients.

Skills

Fraud analytics

SQL

Python

Alteryx

Data visualization

Presentation skills

Project management

Education

Bachelor's degree in quantitative field

Tools

SQL Server

Oracle

Hadoop

Databricks

Hive

Excel

PowerPoint

Job description

Join our Commercial Card & Prepaid Card Fraud Strategy Team, where you will help develop and optimize fraud strategies that protect the firm and our clients while supporting an exceptional client experience.

As a Commercial Card & Prepaid Card Fraud Strategy Associate, you will analyze complex data, identify emerging fraud trends, and develop fraud detection strategies across the Commercial Card and Prepaid Card portfolios. You will use data and business insights to balance fraud prevention, client experience, and operational efficiency.

You will partner cross-functionally to implement and enhance fraud prevention strategies and capabilities. You will also translate fraud trends and performance into clear, actionable insights and recommendations for internal stakeholders and external clients. This role is ideal for an analytical problem solver who is intellectually curious, comfortable working with data, and able to communicate complex findings clearly in a fast-paced, collaborative environment.

Job Responsibilities

• Analyze large and complex data sets to identify emerging fraud trends, underlying risk dynamics, performance gaps, and opportunities to strengthen fraud prevention; translate findings into client- and stakeholder-ready insights and recommendations.
• Develop, optimize, and monitor fraud detection strategies, including rules, thresholds, policies, and operational flows, to mitigate fraud risk while balancing client experience and operational efficiency.
• Evaluate strategy, rule, and control effectiveness using key fraud and operational performance metrics; translate findings into actionable recommendations.
• Identify key risk indicators and performance metrics, enhance reporting and analytics, and explore new data and analytical approaches to improve fraud detection.
• Develop and present fraud performance insights, emerging trends, control effectiveness, and actionable recommendations to internal stakeholders and external clients, translating complex analytics into clear business narratives tailored to the audience.
• Collaborate with cross functional partners to design, implement, test, and enhance fraud prevention capabilities and monitoring coverage.
• Support end-to-end strategy implementation, including business requirements, testing, release readiness, performance monitoring, and post-implementation validation.
• Conduct root-cause and performance analysis to identify opportunities for process optimization, control enhancements, automation, and improved client outcomes.
• Support the development and enhancement of fraud pattern, anomaly detection, and transaction behavior analytics capabilities.
• Document business requirements, processes, data flows, issues, risks, and control gaps; partner with stakeholders to develop and implement appropriate solutions.
• Develop user acceptance testing plans and test cases, coordinate and execute testing, and assess and communicate results to support implementation signoff.
• Manage assigned deliverables with limited direction, maintaining clear communication on progress, dependencies, risks, and issues and escalating as appropriate.

Required Qualifications, Capabilities, and Skills

• Bachelor's degree in Business, Finance, Mathematics, Computer Science, Statistics, or a related quantitative discipline, or equivalent relevant work experience.
• 2+ years of experience in fraud strategy, analytics, risk management, payments, financial services, or a related field.
• Strong analytical and problem-solving skills, with demonstrated ability to analyze complex data, identify trends and opportunities, and translate findings into actionable business recommendations.
• Experience using analytical tools and programming languages such as SQL, Alteryx, Python or SAS to extract, manipulate, and analyze large data sets.
• Experience working with large-scale data environments such as Hadoop, Hive, Databricks, SQL Server, Oracle, or comparable platforms.
• Strong business acumen with the ability to understand business processes, evaluate risk and performance tradeoffs, and develop data-driven recommendations.
• Strong written, verbal, and presentation skills, with demonstrated ability to translate complex fraud and analytical findings into clear business insights and present trends, performance, and recommendations to clients, senior management, and cross-functional stakeholders.
• Strong project management, organizational, and prioritization skills, with the ability to manage multiple deliverables and execute against tight timelines.
• Experience documenting business requirements, processes, data flows, testing requirements, and implementation outcomes.
• Proficiency with Microsoft Office applications, particularly Excel and PowerPoint.
• Demonstrated ability to collaborate effectively across functions and work both independently and as part of a team.

Preferred Qualifications, Capabilities, and Skills

• Experience developing, analyzing, or optimizing fraud detection strategies, rules, thresholds, anomaly de