Quant Analytics Associate - Card Data Analytics
- 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
- 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
- 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
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