Quantitative Analytics Associate - Co-brand Card Data Analytics

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join a team where your analyses directly influence partnership strategy and cardholder experiences. You will turn complex portfolio signals into clear insights that help improve engagement, optimize rewards, and strengthen long-term customer relationships.

As a Quantitative Analytics Associate at JPMorganChase within the Co-brand Credit Card Analytics team, you will develop and execute analytical plans to understand and improve portfolio performance across the customer lifecycle - from acquisition and activation to retention and attrition. You will partner closely with product, marketing, finance, operations, and data teams to align insights to business priorities. Your work will be highly visible and used to inform partnership strategy, value proposition decisions, and customer experience enhancements.

Job responsibilities

• Execute analytics to assess and improve portfolio performance across acquisition economics, spend, engagement, retention, and attrition
• Develop measurement approaches to identify key drivers of performance and quantify opportunity size
• Translate analytical findings into actionable recommendations for partnership strategy, rewards optimization, and customer experience enhancements
• Build and maintain recurring partner reporting and performance narratives for senior stakeholders
• Present insights and recommendations to senior management and partner executives in clear, decision-ready formats
• Partner with cross-functional teams to align analyses to business priorities and drive outcomes
• Maintain a rigorous controls environment by ensuring data accuracy, documentation, and adherence to data governance standards
• Automate and scale analytics using modern tools to improve efficiency, repeatability, and reliability

Required qualifications, capabilities and skills

• Bachelor's degree in a quantitative field and 2+ years of applied data analytics experience, or an advanced degree and two years of applied experience
• Advanced proficiency in SQL and experience working with large, complex datasets
• Experience using statistical and analytics tools (Python, R, or SAS) to conduct analysis and communicate insights
• Strong analytical, quantitative, and problem-solving skills with the ability to structure ambiguous business questions into testable analyses
• Demonstrated ability to communicate complex information clearly to technical and non-technical audiences
• Strong stakeholder management skills, including experience influencing decisions through data-driven recommendations
• Proven collaboration skills and ability to work effectively across teams and levels of seniority
• High attention to detail and a controls mindset, with experience ensuring accuracy and compliance in analytics outputs

Preferred qualifications, capabilities and skills

• Experience in credit card analytics, consumer lending, or payments
• Experience supporting co-brand partnerships, loyalty, or rewards analytics
• Experience with visualization and big data tools (for example, Tableau, Spark, or Hadoop)

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.