Join a team that helps shape how millions of customers discover and choose Chase digital experiences. You will work at the intersection of analytics, data science, and data engineering to turn complex data into clear decisions and scalable solutions.
As a Quantitative Analytics Senior Associate at JPMorganChase within Performance Marketing Analytics, you will own the lifecycle from raw data to executive-ready insight. You will design and interpret experiments, develop analytical frameworks, and build reliable pipelines that help teams move faster with confidence. You will partner with marketing, product, and technology stakeholders to measure performance, optimize customer acquisition, and strengthen Owned Media strategy through data.
Job responsibilities
- Identify, integrate, and analyze large, complex datasets from multiple sources to generate actionable insights and recommendations
- Design measurement approaches and experiments (including A/B, multivariate, and holdout designs) to quantify impact and inform decisions
- Interpret experimental results using primary and guardrail metrics, statistical significance, and practical business impact
- Diagnose performance drivers through segmentation, funnel analysis, and anomaly detection (for example: device, customer type, drop-off points, traffic allocation, and logging gaps)
- Build and maintain scalable, production-ready data pipelines and analytical frameworks that enable repeatable reporting and insights
- Write secure, stable, testable, and maintainable code using SQL and Python or R, with strong attention to quality and controls
- Communicate complex findings through clear narratives and visualizations; present to senior stakeholders and influence roadmaps and priorities
- Stay current on innovations in analytics and responsibly use approved AI-assisted analytics tools to accelerate development, documentation, and issue triage
Required qualifications, capabilities and skills
- Bachelor’s degree in Data Science, Computer Science, or a related technical field
- 2+ years of applied experience in analytics, software engineering, or a related field
- Hands-on experience with system design, application development, testing, and operational stability
- Strong SQL skills and experience working with relational databases to extract, manipulate, and analyze data
- Experience building analytical solutions across multiple data sources, with attention to data quality and reproducibility
- Ability to manage multiple priorities independently with strong organization and attention to detail
- Strong written and verbal communication skills, with the ability to distill complex findings into clear, concise insights for varied audiences
- Experience translating analytical outcomes into business actions in partnership with cross-functional stakeholders
Preferred qualifications, capabilities and skills
- Master’s degree in Data Science, Computer Science, or a related technical field
- Experience with data visualization or workflow tools (for example: Tableau or Alteryx)
- Proficiency in Python or R for analysis and automation
- Experience applying machine learning and generative AI tools to automate workflows and deliver insights, with a responsible and compliant approach
- Understanding of responsible AI practices, including data sensitivity considerations and secure handling of inputs and outputs
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 TeamSkills Required
- Bachelor's degree in Data Science, Computer Science, or a related technical field
- 2+ years of applied experience in analytics, software engineering, or a related field
- Hands-on experience with system design, application development, testing, and operational stability
- Strong SQL skills and experience working with relational databases to extract, manipulate, and analyze data
- Experience building analytical solutions across multiple data sources, with attention to data quality and reproducibility
- Ability to manage multiple priorities independently with strong organization and attention to detail
- Strong written and verbal communication skills, with the ability to distill complex findings into clear, concise insights for varied audiences
- Experience translating analytical outcomes into business actions in partnership with cross-functional stakeholders
- Master's degree in Data Science, Computer Science, or a related technical field
- Experience with data visualization or workflow tools (for example: Tableau or Alteryx)
- Proficiency in Python or R for analysis and automation
- Experience applying machine learning and generative AI tools to automate workflows and deliver insights
- Understanding of responsible AI practices, including data sensitivity considerations and secure handling of inputs and outputs
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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