Quant Analytics Senior Associate - Commerce Payments

Location: Plano, TX, United States

Job Family: Quant Analytics

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. We operate in over 100 markets, providing innovative solutions in investment banking, consumer and community banking, commercial banking, and asset management. The Quant Analytics Senior Associate in Commerce Payments will play a pivotal role in our Corporate & Investment Bank division, focusing on advanced analytics to drive efficiency and security in digital payment solutions. Based in our state-of-the-art Plano, TX campus, this position offers the opportunity to contribute to cutting-edge projects that shape the future of commerce payments in the financial industry. In this role, you will leverage quantitative expertise to model and analyze transaction data, identifying opportunities to mitigate risks and enhance customer experiences in e-commerce and payment processing. Responsibilities include developing sophisticated algorithms for fraud detection, performing deep dives into payment trends, and collaborating with technology teams to integrate analytics into scalable platforms. At JPMorgan Chase, we prioritize innovation and data-driven decision-making, and you will work alongside top-tier professionals to support initiatives that handle billions in daily transactions while adhering to stringent regulatory standards like those from the Federal Reserve and international payment networks. We seek a detail-oriented analyst with a passion for quantitative finance and payments technology. This position demands strong technical acumen combined with the ability to translate complex data insights into actionable strategies. Joining JPMorgan Chase means becoming part of a culture that values diversity, inclusion, and professional growth, with access to world-class resources and mentorship opportunities. If you are ready to advance your career in a dynamic environment that impacts global commerce, apply today to help us build the secure, efficient payment systems of tomorrow.

Key Responsibilities

• Develop and implement quantitative models to analyze commerce payment trends, fraud patterns, and transaction risks
• Conduct statistical analysis on large-scale payment data to support business decisions and regulatory compliance
• Collaborate with cross-functional teams including product managers, engineers, and risk specialists to optimize payment solutions
• Build predictive models using machine learning techniques to enhance fraud detection and prevention in commerce platforms
• Perform scenario analysis and stress testing on payment systems to assess potential impacts on JPMorgan Chase's operations
• Generate insights and reports on payment analytics to inform strategic initiatives in the Commerce Payments group
• Monitor and refine quantitative models based on evolving market conditions and regulatory changes
• Support the integration of analytics into real-time payment processing systems
• Contribute to the development of innovative tools for commerce payment optimization
• Ensure all analytical work adheres to JPMorgan Chase's data governance and ethical standards

Required Qualifications

• Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; Master's or PhD preferred
• 3+ years of experience in quantitative analytics, data modeling, or risk management within the financial services industry
• Proficiency in programming languages such as Python, R, or SQL for data analysis and modeling
• Strong understanding of payment systems, commerce platforms, and transaction data in a banking environment
• Experience with statistical modeling, machine learning, and predictive analytics
• Knowledge of regulatory requirements in financial services, including PCI DSS and anti-money laundering standards
• Ability to handle large datasets and perform complex quantitative analysis

Preferred Qualifications

• Advanced degree in a quantitative discipline with a focus on financial engineering
• Experience working with big data technologies like Hadoop, Spark, or cloud platforms (AWS, Azure)
• Prior role in payments or commerce analytics at a major financial institution
• Familiarity with JPMorgan Chase's internal tools and systems for risk and fraud detection
• Certifications such as CFA, FRM, or data science credentials

Required Skills

• Quantitative modeling and statistical analysis
• Programming in Python, R, and SQL
• Machine learning and predictive analytics
• Data visualization tools like Tableau or Power BI
• Knowledge of payment processing and commerce ecosystems
• Risk assessment and fraud detection techniques
• Big data handling with tools like Hadoop or Spark
• Financial regulations and compliance standards
• Problem-solving and critical thinking
• Strong communication and presentation skills
• Team collaboration and stakeholder management
• Attention to detail and accuracy in data analysis
• Adaptability to fast-paced financial environments
• Proficiency in Excel and advanced mathematical software
• Ethical data handling and privacy awareness

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with company matching contributions
• Generous paid time off, including vacation, sick days, and parental leave
• Professional development programs and tuition reimbursement for advanced education
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Flexible work arrangements, including hybrid options in Plano, TX

JP Morgan Chase is an equal opportunity employer.