Quantitative Analytics Associate - Co-brand Card Data Analytics

J.P. Morgan; New York (NY); On-site; USD 75,000 - 95,000; Full time

Job summary

Join J.P. Morgan as a Quantitative Analytics Associate within the Co-brand Credit Card Analytics team. You will influence partnership strategies and enhance customer experiences using data-driven insights.

Your role involves developing analytical plans to improve portfolio performance and working with cross-functional teams to align your findings with business priorities. Advanced SQL skills and experience with analytical tools like Python or R are required.

The position emphasizes stakeholder management and a rigorous approach to data governance.

Qualifications

• Minimum of 2+ years in applied data analytics or advanced degree with equivalent experience.
• Advanced proficiency in SQL and dealing with large datasets.
• Strong analytical skills for structured ambiguous questions.

Responsibilities

• Improve portfolio performance across acquisition economics and engagement.
• Develop methods to identify key performance drivers.
• Translate analytics into actionable partnership recommendations.

Skills

SQL

Python

R

Data Analysis

Stakeholder Management

Problem-Solving

Education

Bachelor’s degree in a quantitative field

Tools

Tableau

Spark

Hadoop

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)

Drive analytics that shape co‑brand credit card strategy across acquisition, engagement, rewards optimization, and retention.

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