Job Responsibilities:

Leverage your knowledge and analytical skills to help uncover novel use cases of Big Data analytics that can be deployed at scale across the ICB  Help partners in the Marketing, Savings, Daily Banking, Operations define their business problems, understand root causes and scope analytical solutions to address it Research, design, implement, and evaluate analytical approaches and models Take initiative in evaluating and adapting new approaches from data science research Perform ad-hoc exploratory analyses and data mining tasks on diverse datasets from small scale to “big data” Investigate data visualization and summarization techniques for conveying key findings Communicate findings and obstacles to our stakeholders in the business to help drive the delivery to market Code your solutions (this is a hands-on position requiring strong programming skills) Collaborate across teams to deliver the best solution for client, working with a wide range of internal resources

Required qualifications, capabilities, and skills:

Bachelor’s degree in relevant quantitative field required. 2+ years of hands-on experience with data analytics; experience evaluating complex business problems, data analysis and devising recommendations and analytics to solve those business problems. Exceptional analytical, quantitative, problem solving, and communication skills. Excellent leadership, consultative partnering and collaboration across teams. Knowledge of statistical software packages (e.g. Python, R and SAS) and data querying languages (e.g. SQL). Experience across a broad range of modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx). Ability to convey complex information in an understandable, compelling, and persuasive manner to both technical and non-technical audiences.

Preferred qualifications, capabilities, and skills:

Understanding of the key drivers within the credit card P&L is preferred.  Advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields) Financial services background preferred, but not required. M.S. degree or equivalent.