Fraud Strategy - Vice President

Location: Wilmington, DE, United States

Job Family: Risk Analytics/Modeling

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Card Fraud Strategy team plays a critical role in safeguarding our customers' assets against sophisticated threats like identity theft. As a Vice President in Fraud Strategy, you will own the end-to-end strategy for combating credit card ID theft fraud, leveraging advanced analytics and cutting-edge technology to protect one of the world's largest card portfolios. Based in Wilmington, DE, this role within our Risk Analytics/Modeling category offers the opportunity to drive impactful decisions that balance security with seamless customer experiences in a dynamic, global banking environment. In this leadership position, you will develop and refine fraud detection models, analyze transaction data for emerging patterns, and collaborate with teams across Chase's Consumer Banking division to implement proactive defenses. Your work will directly contribute to minimizing financial losses, ensuring regulatory compliance, and enhancing trust in our digital payment solutions. With access to vast datasets and JP Morgan Chase's robust technological infrastructure, you will tackle complex challenges using tools like machine learning and real-time monitoring systems, all while mentoring team members and influencing enterprise-wide strategies. We value professionals who thrive in a fast-paced setting and are passionate about the intersection of finance, technology, and risk management. Joining JP Morgan Chase means becoming part of a collaborative culture that supports innovation and professional growth, with opportunities to advance in our leading financial services organization. If you have a proven track record in fraud analytics and a commitment to excellence, this role will allow you to make a meaningful difference in protecting millions of customers.

Key Responsibilities

• Own and lead the credit card identity theft fraud strategy within JP Morgan Chase's Card Fraud Strategy team
• Develop and deploy advanced analytics models to detect and mitigate ID theft fraud patterns
• Collaborate with cross-functional teams including data scientists, compliance, and product managers to enhance fraud prevention measures
• Monitor fraud trends and performance metrics, providing actionable insights to senior leadership
• Design and implement rules-based and machine learning-based detection systems tailored to credit card transactions
• Conduct root cause analysis on fraud incidents and recommend process improvements
• Ensure compliance with federal regulations and internal JP Morgan Chase policies
• Lead initiatives to optimize fraud strategy effectiveness while minimizing customer impact
• Present strategy updates and recommendations to executive stakeholders
• Mentor junior analysts and contribute to the team's knowledge base on emerging fraud threats

Required Qualifications

• Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related quantitative field
• Minimum of 7 years of experience in fraud analytics, risk management, or financial services
• Proven expertise in developing and implementing fraud detection strategies, particularly for identity theft in credit card portfolios
• Strong understanding of regulatory requirements such as GLBA, FCRA, and PCI-DSS in the financial services industry
• Experience with data analysis tools and programming languages used in risk modeling
• Ability to lead cross-functional teams and influence stakeholders in a large-scale banking environment

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline
• Prior experience at a major financial institution like JP Morgan Chase or similar
• Certification in fraud examination (e.g., CFE) or risk management (e.g., FRM)
• Hands-on experience with machine learning applications in fraud prevention
• Knowledge of JP Morgan Chase's internal risk frameworks and card services operations

Required Skills

• Proficiency in SQL for querying large financial datasets
• Expertise in Python or R for statistical modeling and data analysis
• Knowledge of machine learning algorithms for fraud detection
• Experience with tools like SAS, Tableau, or Alteryx for visualization and reporting
• Strong analytical and problem-solving skills in high-stakes environments
• Excellent communication skills for presenting complex data to non-technical audiences
• Understanding of credit card operations and payment processing systems
• Risk assessment and quantitative modeling expertise
• Project management abilities to drive strategy implementation
• Attention to detail in regulatory compliance and fraud pattern recognition
• Leadership and team collaboration skills
• Adaptability to evolving fraud threats in the financial services sector
• Familiarity with big data technologies like Hadoop or Spark

Benefits

• Competitive base salary and performance-based annual bonus
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company match
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JP Morgan Chase's internal training programs
• Employee stock purchase plan and financial wellness resources
• Flexible work arrangements and hybrid work options in Wilmington, DE
• Access to on-site fitness centers and wellness programs at JP Morgan Chase facilities

JP Morgan Chase is an equal opportunity employer.