Pricing Analytics - Quantitative Analytics Associate

Help shape how credit card pricing drives growth and customer engagement. Use data, testing, and analytics to influence decisions that matter across the portfolio.

Job Summary:

As a Quantitative Analytics Associate on the Pricing Strategy and Analytics team, you will help shape portfolio pricing strategies and support new initiatives across Chase credit card portfolios. You will analyze customer behavior and pricing performance, design and evaluate test-and-learn experiments, and translate data into recommendations that influence pricing terms, portfolio growth, and customer engagement. This role sits within the Marketing Growth & Innovation (MG&I) organization of Card Services, a key business within Chase Consumer & Community Banking.

Job Responsibilities:

Conduct deep-dive analyses of pricing strategies, settings, and customer behavior to improve pricing policies using advanced quantitative methods and programming. Own and support strategic pricing initiatives, including effectiveness measurement and profit & loss impact analysis to quantify both statistical and practical significance. Design price testing and predictive analytics to evaluate possible pricing changes or design data-driven, statistically sound campaigns, partnering with Business Units, product GMs, and support functions (i.e. Enablement) as appropriate. Synthesize large, complex datasets from multiple sources into actionable insights; develop recommendations and present findings to senior leadership to drive changes in business strategy. Respond to ad hoc analytical requests and deliver timely, high-quality analysis. Required qualifications, capabilities, and skills : Bachelor's degree in a quantitative discipline (e.g., Statistics, Data Science/Analytics, Mathematics, Applied Economics, Finance, or related field). Master's degree preferred. Working knowledge of big data technologies and applications (e.g., Snowflake). Practical experience with data querying, processing, mining, and information retrieval. Strong programming skills in SAS or SQL. Proficiency with Microsoft Office (Word, Excel, PowerPoint; PivotTables). Demonstrates strong critical thinking and structured problem-solving with strong attention to detail. Preferred qualifications, capabilities, and skills : Builds deep understanding of pricing and customer data, card lifecycle, elasticity and behavior, and continually searches for insights and creative approaches to business and statistical analytics. Understands key profit and loss drivers for pricing-related initiatives. Communicates clearly and effectively in both written and verbal formats. Builds strong relationships and collaborates across levels and functions. Manages multiple priorities in a fast-paced environment, including concurrent ad hoc analytical requests.

Additional Information:

Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting. This role does not provide relocation assistance, so all candidates must be local to the work locations listed in the job posting or willing to relocate on their own immediately upon hire.