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-dive 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 experiencewith 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 or work experience in data science / statistical analysis, testing, and modeling (e.

g. t-tests, ANOVA, power analysis, regression...