Quantitative Analytics Associate - Business Card Pricing

Join a team that shapes how a Business Card portfolio is priced—using data-driven insight to influence strategy and deliver measurable business impact. Job Summary As a Quantitative Analytics Associate, in Business Card Pricing, you will be responsible for the analysis of portfolio pricing strategies and new company initiatives. This is essentially a Business Analyst position. Job Responsibilities Perform deep‑drive analyses of pricing functionality and configurations to deliver actionable recommendations for new and existing pricing strategies. Apply research, programming, and quantitative/statistical techniques to synthesize large datasets, uncover insights, and build customer segmentation and behavioral analytics to evaluate customer response to pricing changes. Present findings and recommendations to senior leadership to inform and improve business strategy. Develop, automate, and maintain recurring reporting; maintain high quality of reporting and audit to ensure data integrity. Be encouraged to develop existing and new skills to strengthen the overall skillset and business acumen of the team. Evaluate opportunities to apply AI/intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency. Contribute to both short‑term/ad‑hoc and long‑term team initiatives while developing the subject matter expertise to identify, structure, and solve complex pricing‑related business problems, partnering with cross‑functional teams (e.g., Risk, Finance, Marketing) to drive measurable outcomes. Support end‑to‑end pricing initiatives: develop strategy based on statistical analysis and evidence, create business case, build presentations to secure buy‑in from senior leadership and drive discussions with impacted stakeholders, complete required governance forums, support execution, monitor post‑launch performance, and analyze results to build insights for future pricing initiatives. Required Qualifications, Capabilities, And Skills Bachelor's degree required. A degree in a quantitative discipline is preferred (Ex: Computer Science, Statistics, Mathematics, Finance, Economics, or Machine learning). 1+ years of work experience. Practical experience with at least one query language (typically either SAS or some variety of SQL) and at least one programming language (typically R, Python). Experience and comfort with the Microsoft Office suite (Word, Excel, PowerPoint). Comfortable both as an individual contributor and in a team environment, with excellent relationship management skills and the ability to work across all levels within the organization. Preferred Qualifications, Capabilities, And Skills Educational background and/or work experience in data science / statistical analysis, testing, and modeling (e.g., t-tests, ANOVA, power analysis, regression). Tenured experience with data visualization tools (Tableau, SAS, R, Excel). Intellectually curious and like solving problems. Detail‑oriented and take pride and ownership in your work. Understanding of the key drivers within profit and loss. Strong verbal and written communication skills. Interest to grow and develop as a quantitative analyst. 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. Equal Opportunity Employer 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. #J-18808-Ljbffr JPMorganChase