We have an exciting opportunity for you to leverage AI/ML to deliver actionable insights across the Card business.

As a Data Science Senior Associate within the Card Data and Analytics team, you will leverage your skills and experience in building insights from advanced analytics, Gen AI/LLM tools, and data querying to support our Credit Card business. This role combines consulting know-how, analytical proficiency in statistics, data science, machine learning/AI, proficiency in SQL/Python programming, and visualization methods.

Job Responsibilities:

Uncover novel use cases of Big Data analytics for the Credit Card business.Drive data science/AIML use case development supporting the Card business.Help partners define business problems and scope analytical solutions.Build an understanding of the problem domain and available data assets.Research, design, implement, and evaluate analytical approaches and models.Perform ad-hoc exploratory statistics, data mining, and model testing.Investigate data visualization techniques for conveying key findings.

Required Qualifications, Capabilities, and Skills:

Bachelor’s degree in a relevant quantitative field and 6+ years of data analytics experience or advanced degree in an analytical field.Exceptional analytical, quantitative, problem-solving, and communication skills.Demonstrated intellectual curiosity for solving business problems.Excellent leadership, consultative partnering, and collaboration skills.Knowledge of statistical software packages (e.g., Python, R, SAS) and data querying languages (e.g., SQL).Experience with modern data science tools (e.g., OpenAI, SQL, Spark, Python).

Preferred Qualifications, Capabilities, and Skills:

Understanding of key drivers within the credit card P&L.Financial services background preferred.M.S. equivalent preferred.