Quantitative Analytics Associate

Location: Wilmington, DE, United States

Job Family: Quant Analytics

About the Role

At JPMorgan Chase, we are at the forefront of redefining the future of financial services through innovation and data-driven strategies. The Quantitative Analytics Associate role within the Card Marketing Activation & Transformation team in Wilmington, DE, offers an exciting opportunity to leverage advanced analytics to drive customer engagement and business growth in our Consumer Banking division. As a key contributor, you will analyze vast datasets from our card portfolio to inform marketing strategies that activate new accounts, optimize customer journeys, and enhance transformation efforts across digital and traditional channels. This position is ideal for a motivated data analyst passionate about quantitative methods in the dynamic world of credit card services, where your insights will directly impact millions of customers and contribute to JPMorgan Chase's leadership in the financial industry. In this role, you will partner with cross-functional teams including marketing, product development, and risk management to develop sophisticated models that predict customer behavior and measure campaign effectiveness. Responsibilities include extracting and interpreting complex data using tools like SQL and Python, building visualizations to highlight key trends, and recommending optimizations that align with business objectives such as increasing activation rates and reducing churn. You will also ensure all analyses adhere to JPMorgan Chase's rigorous standards for data privacy, regulatory compliance, and ethical AI practices, safeguarding our commitment to responsible banking. JPMorgan Chase values a culture of inclusion, innovation, and professional growth, providing you with the resources to advance your career while making a meaningful difference. Join us to apply your quantitative expertise in a collaborative environment that supports work-life balance and offers unparalleled opportunities in financial services.

Key Responsibilities

• Conduct quantitative analysis on customer data to support card marketing activation initiatives
• Develop and maintain predictive models for customer segmentation and engagement strategies
• Collaborate with marketing and product teams to transform data insights into actionable campaigns
• Analyze performance metrics for marketing programs, identifying trends and optimization opportunities
• Utilize advanced analytics tools to forecast activation rates and ROI for new card products
• Support data-driven decision-making for transformation projects aimed at enhancing customer experience
• Prepare detailed reports and visualizations to communicate findings to senior stakeholders
• Ensure data integrity and compliance with JPMorgan Chase's privacy and security standards
• Monitor and evaluate the impact of marketing activations on portfolio growth and risk management
• Contribute to the development of innovative analytics frameworks for the Card Marketing team

Required Qualifications

• Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related quantitative field
• 3+ years of experience in data analysis, quantitative analytics, or a similar role within the financial services industry
• Proficiency in SQL, Python, or R for data manipulation and analysis
• Strong understanding of credit card products, marketing analytics, and customer activation strategies
• Experience with large-scale datasets and data visualization tools such as Tableau or Power BI
• Ability to work with cross-functional teams in a fast-paced environment
• Excellent problem-solving skills and attention to detail

Preferred Qualifications

• Master's degree in a quantitative discipline or MBA
• Prior experience at a major financial institution, preferably in card services or marketing transformation
• Knowledge of machine learning techniques for predictive modeling in customer behavior
• Familiarity with regulatory requirements in financial marketing (e.g., FCRA, TCPA)
• Experience with A/B testing and campaign optimization in digital marketing

Required Skills

• SQL and database querying
• Python or R programming for data analysis
• Statistical modeling and hypothesis testing
• Data visualization with Tableau or Power BI
• Machine learning basics (e.g., regression, clustering)
• Financial acumen in credit risk and marketing metrics
• Excel advanced functions and pivot tables
• Problem-solving and analytical thinking
• Communication and presentation skills
• Project management and time management
• Attention to detail and data accuracy
• Team collaboration and stakeholder management
• Knowledge of big data tools like Hadoop or Spark
• Understanding of A/B testing methodologies
• Regulatory compliance awareness in finance

Benefits

• Competitive base salary and performance-based annual bonus
• 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 opportunities, including tuition reimbursement and leadership training
• Employee stock purchase plan and financial wellness programs
• On-site fitness centers and wellness initiatives at Wilmington facilities
• Flexible work arrangements and hybrid work options

JP Morgan Chase is an equal opportunity employer.