This is a unique opportunity to have meaningful impact on a large scale at a leading financial services firm.
As a Quant Analytics Senior Associate within Digital Analytics team, you will be responsible for digital behavioral and performance data, experimentation, and emerging AI capabilities to improve how we measure customer journeys, identify performance drivers, and communicate actionable insights to senior leaders. You'll need to be a strategic and analytical thinker who can become a trusted advisor in the Digital Analytics space. Just as importantly, you'll bring intellectual curiosity, strong ownership, and the judgment to define and defend the correct answer to a business question. You’ll be joining a pivotal, cross-functional team that measures and understands Chase’s digital customer journeys and channel performance.
Job Responsibilities
- Partnering with digital product, technology, and analytics teams across the organization to improve how digital performance and customer journeys are measured, including data quality, key performance indicators, methodologies, and governance
- Building AI-enabled solutions that identify meaningful changes in business performance and deliver actionable insights to stakeholders without creating unnecessary noise
- Translating business questions into structured analytical approaches and actionable recommendations
- Building credibility with stakeholders through clear communication, sound analysis, and practical solutions
- Taking ownership of projects and processes from problem definition through implementation
- Collaborating with peers to maintain high standards of quality and analytical rigor
Required Qualifications, Capabilities and Skills
- Undergraduate or advanced degree in an analytical field, data bootcamp certification, or equivalent experience in analytics, consulting, modeling, or business analysis
- 5+ years of experience in an analytical role that proactively supported data-driven decision-making
- Experience with analytical tools and techniques (e.g., SQL, Python, regression analysis, visualization tools)
- Meaningful experimentation with AI tools (e.g., Copilot, Claude, ChatGPT, or similar technologies) and an eagerness to continue learning as capabilities evolve
- Strong analytical judgment, including the ability to distinguish meaningful business signals from normal variation and communicate insights with appropriate context
- Strong critical thinking skills, including the ability to validate results and identify flaws in analyses, datasets, or AI-generated outputs
- Ability to frame business problems as testable hypotheses and communicate findings to technical and non-technical audiences
- Strong organizational skills and the ability to manage multiple priorities simultaneously
Preferred Qualifications, Capabilities and Skills
- Financial services background
- Experience at a top-tier analytics or management consulting firm
- Demonstrated experience using AI to improve business outcomes, analytical workflows, decision-making processes, or stakeholder engagement
- Experience designing or improving alerting, monitoring, or decision-support processes that help stakeholders focus on meaningful business changes
- Bachelors, MBA or other master's degree in a quantitative field
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
Skills Required
- Undergraduate or advanced degree in an analytical field, data bootcamp certification, or equivalent experience in analytics, consulting, modeling, or business analysis
- 5+ years of experience in an analytical role supporting data-driven decision-making
- Experience with SQL, Python, regression analysis, and visualization tools
- Meaningful experimentation with AI tools such as Copilot, Claude, ChatGPT, or similar technologies
- Strong analytical judgment and ability to distinguish meaningful business signals from normal variation
- Strong critical thinking skills, including validating results and identifying flaws in analyses, datasets, or AI-generated outputs
- Ability to frame business problems as testable hypotheses and communicate findings to technical and non-technical audiences
- Strong organizational skills and ability to manage multiple priorities simultaneously
- Financial services background
- Experience at a top-tier analytics or management consulting firm
- Experience using AI to improve business outcomes, analytical workflows, decision-making processes, or stakeholder engagement
- Experience designing or improving alerting, monitoring, or decision-support processes
- Bachelor's, MBA, or other master's degree in a quantitative field
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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