Quant Analytics Senior associate - Card Data Analaytics

JP Morgan Chase; New York (NY); On-site; USD 110,000 - 160,000; Full time

Job summary

JP Morgan Chase is seeking a Quantitative Analytics Senior Associate within Card & Analytics. You will deliver high-impact quantitative insights shaping cobrand credit card strategies—from acquisition to rewards optimization—and influence senior leadership with data-driven recommendations.

You will collaborate with cross-functional teams, apply advanced analytics and experimentation, and ensure data integrity while driving measurable business outcomes across partnerships.

Qualifications

• Formal training or certification in analytics concepts with 3+ years of applied experience.
• Bachelor's degree in statistics, mathematics, economics, computer science, or related quantitative field (or advanced degree with analytical focus).
• Proficiency in Python, R, or SAS and SQL for data querying and analysis.
• Experience with analytics tools such as Hive, Hadoop, Spark, Tableau, or Alteryx.

Responsibilities

• Execute quantitative analytics to drive portfolio strategy and performance across key metrics (acquisition, activation, spend, retention, attrition).
• Develop analytical frameworks to address complex cobrand partnership challenges.
• Consult on experimental design and testing strategies with partners to validate and scale initiatives.
• Present findings and actionable recommendations to senior management and cross-functional stakeholders.
• Maintain rigorous data controls to ensure accuracy, integrity, and compliance of outputs.
• Apply advanced analytical tools, including segmentation and generative AI, to uncover insights.
• Collaborate with marketing, product, and Data & Analytics teams to align work with business priorities.
• Optimize rewards structures and cardholder value propositions to boost loyalty.
• Prepare partner reporting and performance insights to support Cobrand relationships.

Skills

Python

R

SAS

SQL

Statistics

Mathematics

Analytical reasoning

Data storytelling

Forecasting

Experiment design

Education

Bachelor's degree in a quantitative field

Tools

Hive

Hadoop

Spark

Tableau

Alteryx

Job description

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

As a Quantitative Analytics Senior Associate at Card & 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

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.

• 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.