Quantitative Analytics Associate – Business Card Pricing

Join a team that shapes how a Business Card portfolio is pricedusing data-driven insight to influence strategy and deliver measurable business impact.

Job Summary:

As a Quantitative Analytics Associatein Business Card Pricing you will be responsible for the analysis of portfolio pricing strategies and new company 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 strengthenthe 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:

• Bachelors degreerequired. 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 comfortwith the Microsoft Office suite (Word Excel PowerPoint).

• Comfortable both as an individual contributor and in a team environmentwith 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).

• Tenured experience with data visualization tools (Tableau SAS R Excel).

• Intellectually curiousand 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.