We’re driven by curiosity, passion, optimism, and the belief that everybody can grow.

As a quant analytics associate in the Card Data & Analytics (D&A) Acquisitions Forecast & Offers Analytics team, you will use your skills in data engineering, analysis, modeling, and project management to initiate, develop, and complete advanced analytics projects.  These include, e.g., developing predictive models, creating data assets, and improving processes, etc., to support the development, monitoring, and refinement of acquisitions forecasts and offers. You will improve the way we develop credit card acquisition forecasts and offers to optimize investment outcomes and drive sustainable growth of the credit card business.  You are an experienced individual contributor who will work independently alongside a team of analysts and associates, providing tactical support as well as strategic oversight to business partners across Product, Marketing, Finance, and Risk teams and deliver against growth targets. The Acquisitions Forecast & Offers Analytics team is integral to Card D&A, focusing on the development and application of quantitative methods as well as data exploration to inform and drive credit card acquisition strategy.  You will work with industry-leading brands as well as emerging partnerships and contribute to the growth of our credit card portfolio. 

Job Responsibilities: 

Provide both tactical support as well as strategic oversight to Product, Marketing, Finance, and Risk teams to drive credit card acquisitions investment decisions 

Develop and communicate actionable data-driven insights for marketing campaigns 

Leverage existing data assets and develop new ones to improve acquisitions forecast quality to grow the business sustainably  

Support card business goals, developing reports for senior leaders to define and monitor key performance metrics 

Be a champion of the data and analytics community, representing business users and analysts to data architects, platform developers, and data owners, and nurturing a broader culture of data-as-an-asset 

Improve our ways of working to increase efficiency and effectiveness, identifying and closing gaps between people, processes, and systems 

Ensure business continuity, driving the adoption of standards and best practices 

Stay current with industry trends and emerging technologies 

Required Qualifications, Capabilities, and Skills: 

Bachelor's degree or equivalent in a quantitative discipline, e.g., engineering, mathematics, computer science, physical sciences, etc. 

2+ years of professional experience combined or equivalent in data/decision science, forecasting, data management/engineering, and business intelligence 

Intermediate and better experience with data ETL, analysis, visualization, and change management using software tools such as Snowflake, SAS, Python, R, Alteryx, Tableau, GitHub, Excel, PowerPoint, etc. 

Communicate clearly and effectively to audiences of varying technical levels 

Manage competing priorities in highly matrixed organization 

Preferred Qualifications, Capabilities, and Skills: 

Experience with causal inference and machine learning techniques, having developed and deployed quantitative models in a professional environment 

Professional experience in consumer banking, lending, or similarly regulated industries