Card Fraud Strategy - Senior Associate

Location: Wilmington, DE, United States

Job Family: Risk Analytics/Modeling

About the Role

At JPMorgan Chase, we are at the forefront of financial innovation, and our Card Fraud Strategy team plays a pivotal role in safeguarding our clients' assets against evolving threats. As a Senior Associate in Card Fraud Strategy, you will join a dynamic group within Risk Analytics/Modeling, based in Wilmington, DE, where you'll leverage cutting-edge analytics to fortify our payment card ecosystem. This position is ideal for a proactive professional passionate about using data-driven insights to combat fraud, ensuring the resilience of one of the world's largest financial institutions. You'll contribute to strategies that protect millions of transactions daily, balancing security with seamless customer experiences in a highly regulated environment. In this role, you will dive deep into transaction datasets to build and refine fraud detection models, employing advanced techniques like machine learning and behavioral analytics. Collaborating with cross-functional teams across technology, product, and compliance, you'll design rules-based systems and AI enhancements that adapt to sophisticated fraud schemes, from account takeovers to synthetic identity fraud. Your work will directly impact JPMorgan Chase's ability to minimize financial losses while adhering to key regulations such as PCI DSS and anti-money laundering standards, all while fostering a culture of innovation in risk management. We seek individuals who thrive in a collaborative, high-stakes setting and are committed to continuous learning in the rapidly changing landscape of financial crime. As part of JPMorgan Chase's global team, you'll have access to unparalleled resources, mentorship, and career growth opportunities, helping you advance in the competitive world of financial services. Join us to make a tangible difference in keeping our clients secure and our operations robust.

Key Responsibilities

• Develop and implement advanced fraud detection strategies for JPMorgan Chase's card products to minimize losses and protect customer assets
• Analyze transaction data using statistical models and machine learning to identify emerging fraud trends and patterns
• Collaborate with product, technology, and compliance teams to design and deploy fraud prevention rules and alerts
• Conduct root cause analysis on fraud incidents and recommend enhancements to existing risk models
• Monitor key performance metrics for fraud strategy effectiveness and optimize models to balance risk and customer experience
• Stay abreast of industry regulations and evolving fraud tactics to ensure JPMorgan Chase's compliance and resilience
• Prepare detailed reports and presentations on fraud analytics for senior leadership and regulatory bodies
• Support the integration of AI-driven tools into fraud workflows to enhance detection accuracy
• Mentor junior analysts and contribute to the continuous improvement of the Fraud Strategy team's methodologies

Required Qualifications

• Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related quantitative field
• Minimum of 3-5 years of experience in fraud detection, risk management, or analytics within the financial services industry
• Proficiency in data analysis and statistical modeling, with hands-on experience using tools like SQL, Python, or R
• Strong understanding of payment card systems, fraud patterns, and regulatory requirements such as PCI DSS and GLBA
• Demonstrated ability to analyze large datasets and derive actionable insights to mitigate financial risks
• Excellent communication skills to collaborate with cross-functional teams and present findings to senior stakeholders

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline
• Experience with machine learning algorithms for fraud detection in credit card portfolios
• Prior work at a major financial institution like JPMorgan Chase or similar
• Certification in fraud examination (e.g., CFE) or risk management (e.g., FRM)
• Familiarity with big data technologies such as Hadoop or Spark

Required Skills

• Data analysis and visualization (SQL, Python, R)
• Statistical modeling and hypothesis testing
• Machine learning for anomaly detection
• Fraud pattern recognition and risk assessment
• Regulatory compliance knowledge (PCI DSS, AML)
• Problem-solving and critical thinking
• Communication and stakeholder management
• Attention to detail and accuracy
• Project management and prioritization
• Adaptability to fast-paced environments
• Team collaboration and leadership
• Big data handling (Hadoop, Spark)
• Excel and advanced spreadsheet modeling
• Business acumen in financial services
• Ethical decision-making in high-stakes scenarios

Benefits

• Comprehensive health, dental, and vision insurance plans with employer contributions
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JPMorgan Chase's internal training programs and tuition reimbursement
• Employee stock purchase plan and performance-based bonuses
• Wellness programs including gym memberships and mental health support
• Flexible work arrangements and hybrid options in Wilmington, DE
• Access to on-site amenities and employee assistance programs

JP Morgan Chase is an equal opportunity employer.