Join a team where your analytical expertise directly shapes pricing decisions that improve customer outcomes and business performance. You will work on high-impact initiatives, apply rigorous quantitative methods, and partner closely with teams across the organization to turn insights into action. If you enjoy solving ambiguous problems and delivering measurable results, this role offers strong opportunities to grow your technical depth and influence.
As a Quant Analytics Senior Associate at JPMorganChase within the Credit Card Installment team, you will deliver quantitative research and pricing analytics that inform strategy, experimentation, and performance measurement. You will apply advanced statistical techniques and strong business judgment to evaluate pricing approaches, understand customer behavior, and improve policies and configuration. You will collaborate with cross-functional partners to translate findings into decisions and execution.
Job responsibilities
- Deliver effective quantitative problem solving and analytical research to support key pricing initiatives
- Apply deep business understanding and advanced analytical techniques to drive research, experimentation, and measurable outcomes
- Lead, mentor, hire, and develop a high-performing analytics team; promote scientific rigor, ethical artificial intelligence, and continuous learning
- Maintain a pragmatic approach to generative artificial intelligence and large language models as complementary tools, while prioritizing classical, statistical, and graph analytical methods for core pricing strategy workstreams
- Partner with cross-functional teams (for example, Finance and Marketing) to drive insights into action and deliver business impact
- Design and implement scalable, reliable analytics processes to optimize business outcomes
- Conduct extensive analysis of pricing functionality, configuration, and customer behavior to improve pricing strategies and policies using advanced quantitative methods
- Own and support strategic pricing initiatives, including effectiveness evaluation and profit and loss analysis; quantify statistical and practical significance
- Solve unstructured business problems and develop deep-dive analyses of customer behavior using multiple analytics and statistical techniques
- Conduct hypothesis testing and advanced experimental design (A/B and multivariate tests) to measure the impact and effectiveness of pricing strategies
Required qualifications, capabilities and skills
- Graduate or post-graduate degree in a quantitative discipline (for example, Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning)
- 3+ years of hands-on analytics experience in banking strategic analytics
- Hands-on proficiency with Python and SQL; experience with visualization tools (for example, Tableau) and analytics tools (for example, Alteryx)
- Strong statistical and econometric foundation with hands-on pricing analytics experience, including elasticity estimation, A/B testing, causal inference, and experimentation frameworks
- Strong advanced analytics skills using SAS, Python, or R
- Excellent communication skills with the ability to translate complex models into clear explanations and “reason codes,” influencing cross-functional stakeholders and senior leadership
- Exposure to enterprise artificial intelligence enablement, large language model-assisted workflows, or analytics transformation programs
- Ability to evaluate opportunities to apply artificial intelligence, generative artificial intelligence, and intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency
- Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration and threshold optimization, imbalanced learning, and pricing sensitivity evaluation
Preferred qualifications, capabilities and skills
- Proficiency in extract, transform, load processes across structured and unstructured data sources
- Professional experience with Amazon Web Services, Apache Spark, Amazon EMR, Snowflake, Confluence, and generative artificial intelligence tools (subject to firm-approved usage)
- People leadership experience, including recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture
- Strong understanding of information technology processes and databases, with the ability to work directly with data owners and custodians
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
- Graduate or postgraduate degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning.
- At least 3 years of hands-on analytics experience in banking strategic analytics.
- Hands-on proficiency with Python and SQL, plus experience with visualization and analytics tools such as Tableau and Alteryx.
- Strong statistical and econometric foundation with pricing analytics experience, including elasticity estimation, A/B testing, causal inference, and experimentation frameworks.
- Advanced analytics skills using SAS, Python, or R.
- Excellent communication skills and ability to explain complex models and reason codes to stakeholders and senior leadership.
- Exposure to enterprise AI enablement, large language model-assisted workflows, or analytics transformation programs.
- Ability to evaluate applications of AI, generative AI, and intelligent automation for investigative analysis, documentation, knowledge retrieval, summarization, and workflow efficiency.
- Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration and threshold optimization, imbalanced learning, and pricing sensitivity evaluation.
- Proficiency with extract, transform, and load processes across structured and unstructured data sources.
- Professional experience with AWS, Apache Spark, Amazon EMR, Snowflake, Confluence, and approved generative AI tools.
- People leadership experience, including recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture.
- Strong understanding of information technology processes and databases, with ability to work with data owners and custodians.
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.
-
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.
-
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.
-
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.
Gallery
