Quant Analytics Senior associate - Card Data Analaytics

JPMorganChase; Wilmington (DE); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorganChase is seeking a Quantitative Analytics Senior Associate within Card Data & Analytics to deliver high-impact insights shaping cobrand credit card strategies from acquisition to rewards optimization. You will influence portfolio performance and partner engagement while collaborating with cross-functional teams and senior leadership.

This role emphasizes advanced analytics, experimentation design, data governance, and storytelling to drive strategic decisions in a fast-paced environment.

Qualifications

• Formal training or certification on analytics concepts and 3+ years applied experience.
• Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science) or an advanced degree with relevant analytical experience.
• Proficiency in statistical programming languages including Python, R, or SAS, and data querying languages such as SQL.
• Experience with modern analytics and data tools including Hive, Hadoop, Spark, Tableau, or Alteryx.
• Exceptional analytical and quantitative problem-solving skills with the ability to translate complex data into clear, actionable insights.
• Strong communication skills with the ability to convey complex information to both technical and non-technical audiences.
• Demonstrated intellectual curiosity and a proactive approach to solving ambiguous business problems.
• Familiarity with generative AI concepts and prompt engineering fundamentals.

Responsibilities

• Execute quantitative analytics to drive credit card portfolio strategy and performance across key metrics including acquisition, activation, spend, retention, and attrition.
• Develop innovative analytical solutions and frameworks to address complex business challenges across cobrand partnership programs.
• Consult on experimental design and testing strategies in collaboration with partners and internal teams to validate and scale initiatives.
• Present findings and actionable recommendations clearly and compellingly to senior management and cross-functional stakeholders.
• Maintain rigorous data controls to ensure accuracy, integrity, and compliance across all analytical outputs.
• Apply advanced analytical tools and models — including generative AI and segmentation frameworks — to uncover actionable insights.
• Collaborate closely with marketing, product, and Data & Analytics teams to align analytical work with broader business priorities.
• Optimize rewards structures and cardholder value propositions to enhance customer loyalty and engagement.
• Prepare and deliver partner reporting and performance insights to support cobrand relationship management.

Skills

Analytical problem solving

Communication skills

Curiosity/initiative

Collaborative teamwork

Education

Bachelor's degree in Statistics/Mathematics/CS

Advanced degree with analytical focus

Tools

Python

R

SAS

SQL

Hive

Hadoop

Spark

Tableau

Alteryx

Job description

Job Description

We're driven by curiosity, passion, optimism, and the belief that everybody can grow.

Job Description

We're driven by curiosity, passion, optimism, and the belief that everybody can grow.

As a Quantitative Analytics Senior Associate at JPMorganChase within Card Data & Analytics, you will deliver high-impact quantitative insights that shape strategies across cobrand credit card partnerships — from acquisition and engagement to retention and rewards optimization. Your work will directly influence partnership strategies, cardholder value, and customer experience, with meaningful visibility to senior leadership. This is an opportunity to bring your analytical expertise to a collaborative, fast-paced team where your insights drive real business outcomes.

Job Responsibilities

• Execute quantitative analytics to drive credit card portfolio strategy and performance across key metrics including acquisition, activation, spend, retention, and attrition
• Develop innovative analytical solutions and frameworks to address complex business challenges across cobrand partnership programs
• Consult on experimental design and testing strategies in collaboration with partners and internal teams to validate and scale initiatives
• Present findings and actionable recommendations clearly and compellingly to senior management and cross-functional stakeholders
• Maintain rigorous data controls to ensure accuracy, integrity, and compliance across all analytical outputs
• Apply advanced analytical tools and models — including generative AI and segmentation frameworks — to uncover actionable insights
• Collaborate closely with marketing, product, and Data & Analytics teams to align analytical work with broader business priorities
• Optimize rewards structures and cardholder value propositions to enhance customer loyalty and engagement
• Prepare and deliver partner reporting and performance insights to support cobrand relationship management

Required Qualifications, Capabilities, And Skills

• Formal training or certification on analytics concepts and 3+ years applied experience
• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or an advanced degree with relevant analytical experience
• Proficiency in statistical programming languages including Python, R, or SAS, and data querying languages such as SQL
• Experience with modern analytics and data tools including Hive, Hadoop, Spark, Tableau, or Alteryx
• Exceptional analytical and quantitative problem-solving skills with the ability to translate complex data into clear, actionable insights
• Strong communication skills with the ability to convey complex information to both technical and non-technical audiences
• Demonstrated intellectual curiosity and a proactive approach to solving ambiguous business problems
• Familiarity with generative AI concepts and prompt engineering fundamentals

Preferred Qualifications, Capabilities, And Skills

• 3 or more years of experience in the credit card industry, with exposure to cobrand or partnership programs
• Experience with customer segmentation, lifecycle analytics, or rewards optimization strategies
• Familiarity with experimental design methodologies such as A/B testing or champion/challenger frameworks
• Demonstrated ability to influence strategy through data storytelling and executive-level presentations

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most‑used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.