Quant Analytics Associate – Card Acquisitions Forecasting & Offers Analytics
We thrive on curiosity, passion, optimism, and the belief in continuous growth for everyone.
As a Quant Analytics Associate part of Card Acquisitions Forecasting & Offers Analytics, you will transform data into actionable insights that drive investment strategies for credit card acquisitions. With a strong analytical background, proficiency in data processing and visualization, and the ability and willingness to collaborate effectively with multiple partners, you will be a key member of the team that drives sustainable growth in the Card business.
Job Responsibilities:
- Utilize Snowflake, SAS, Python, R, Alteryx, and other ETL tools to extract and analyze data, converting it into actionable insights.
- Integrate structured and unstructured data from multiple sources to uncover meaningful trends and patterns that inform marketing strategies and acquisition forecasts.
- Define appropriate key performance indicators to track business performance, and develop consistent, reliable, and informative reports.
- Utilize Tableau, Excel, PowerPoint, and other data visualization tools to effectively communicate insights and tell compelling stories.
- Partner with Finance, Risk, Marketing, and Product teams to improve processes and procedures related to the development, and P&L forecast, of initiatives aimed at driving sustainable growth of the credit card business.
Required Qualifications, skills and capabilities:
- Bachelor’s degree in quantitative field, e.g., Computer Science, Mathematics, Engineering, etc., involving data processing, analysis, and research
- 3+ years’ professional experience in a data-driven environment
- Experience with data ETL and visualization tools, e.g., Snowflake, SAS, Python, R, Alteryx, Tableau, Excel, Powerpoint, etc.
- Excellent communication and presentation, attention to detail, problem solving, analysis, intellectual curiosity, continuous improvement, risk management
Preferred qualifications, capabilities, and skills
- Intermediate to expert experience with data ETL and visualization tools, e.g., Snowflake, SAS, Python, R, Alteryx, Tableau, Excel, Powerpoint, etc.
- Experience in credit cards and/or retail banking
***Relocation support is not offered for this role, hybrid schedule includes 3 days inoffice.***
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