Quant Analytics Associate - SAS, SQL, Python

We thrive on curiosity, passion, optimism, and the belief in continuous growth for everyone.

As a Quant Analytics Associate within the Card Acquisitions Forecasting & Offers Analytics team, 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
 Owns and supports marketing analytics for spend engagement for all card products. A key area of analytical exercise is to evaluate effectiveness of marketing campaigns and perform P&L evaluation
 Creates accurate and timely analyses on a wide variety of areas including marketing offer operational performance, trend analysis, campaign performance and subscriber behavior and responses to marketing offers
 Develops and maintain operational dashboards to assist business functions
 Partners with cross functional teams such as Finance, Strategy, Product and Customer Care to understand enterprise trends, competitive environment and their impacts on customer behavior and provide conclusions and recommendations to business owners
 Synthesizes large volumes of data into meaningful insights and promote actionable strategies in card services.
 Performs advanced analytics (eg: develop customer segmentation) leveraging statistical techniques to develop framework for differentiated offering strategies to drive marketing efficiencies.
 Interacts regularly with business units, understand business goals and priorities and play the role of an effective partner to devise strategies with customer focused analysis and performance to realize growth opportunities. Support business growth targets by understanding business needs and providing concise, insightful and timely analytics for key trends through data analysis
 Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast paced environment

Required qualifications, capabilities, and skills
 BS/BA/MS in an analytical field (e.g., Statistics, Applied Mathematics, Computer Science, Finance) with minimum 4 years of relevant experience.
 Expert in SAS/SQL. Proficiency with programming languages such as R/Python
 Working knowledge of advanced statistical concepts
 Experience with manipulating large and complex databases and developing appropriate data models to evaluate and solve business problems
 Strong oral and written communication skills
 Experience in summarizing data and building presentations using Powerpoint

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
 Machine learning techniques, understanding of credit card P&L is preferred
 Understanding of digital marketing tools (Google Analytics, Adobe Analytics) is preferred,