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As a Quantitative Analytics Senior Associate at JPMorganChase within the Card Data & Analytics organization, you will leverage your analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses that address emerging business challenges. You will assess portfolio performance to uncover optimization opportunities and translate customer behavioral data—including spend, payment, and engagement patterns—into insights that shape marketing strategies and enhance card profitability through targeted campaigns and product innovations. You’ll collaborate across marketing, product, finance, and risk to turn complex analyses into clear recommendations that influence resource allocation, campaign strategy, and portfolio management.
Job responsibilities
- Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
- Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
- Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
- Conduct sophisticated analysis and deliver tactical and strategic insights across marketing, finance, and business functions using modern visualization and reporting tools
- Serve as a subject matter expert for data-driven decision-making and opportunity identification, providing guidance on analytical approaches and methodologies
- Partner with internal and external clients to solve quantitative business problems, optimize performance, and deliver solutions that address critical business needs
- Align with data owners and department managers to contribute to the development of data models, analytics architecture, and enterprise-wide data strategies
- Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes to enhance operational efficiency
- Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders
Required qualifications, capabilities and skills
- Bachelor’s degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline with 6+ years of relevant experience, or an advanced degree with 4+ years of experience
- Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels
- Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives
- Hands-on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation
- Proficiency in data analysis programming languages such as Python or SAS, with experience in Big Data technologies including Snowflake, Databricks, or equivalent platforms
- Strong SQL skills and demonstrated experience working with relational databases to extract, manipulate, and analyze data
- Experience with data visualization techniques and reporting tools such as Tableau, Alteryx, or comparable platforms to create compelling visual narratives
- Advanced analytical, interpretive, and problem-solving skills with the ability to tackle ambiguous business challenges and derive actionable solutions
- Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences
Preferred qualifications, capabilities and skills
- Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics
- Demonstrated ability to influence prioritization and decisions through structured analytics storytelling and clear business recommendations
- Experience working with cross-functional partners in marketing, product, finance, and risk to deliver measurable business outcomes
- Experience identifying and scaling process improvements that enhance data quality, repeatability, and reporting efficiency
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
- Bachelor's degree in a quantitative field (Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics) with 6+ years experience, or advanced degree with 4+ years
- Exceptional interpersonal and collaboration skills with ability to explain complex mathematical concepts to non-technical audiences
- Proven track record delivering analytics and insights to operational teams and senior executives
- Hands-on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation
- Proficiency in data analysis programming languages such as Python or SAS
- Experience with Big Data technologies such as Snowflake, Databricks, or equivalent platforms
- Strong SQL skills and experience working with relational databases
- Experience with data visualization and reporting tools such as Tableau, Alteryx, or comparable platforms
- Advanced analytical, interpretive, and problem-solving skills for ambiguous business challenges
- Excellent written and oral communication skills to distill complex analytical findings
- Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics
- Ability to influence prioritization and decisions through structured analytics storytelling
- Experience working with cross-functional partners in marketing, product, finance, and risk
- Experience identifying and scaling process improvements that enhance data quality and reporting efficiency
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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