Quant Analytics Senior Associate - Credit Card Installment

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 Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most‑used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes. Drive credit card installment pricing strategy using advanced analytics, experimentation, and profitability insights. #J-18808-Ljbffr JP Morgan Chase