JPMorgan Data Scientist Associate - Card Customer & Strategic Analytics 

United States, Delaware, Wilmington 

562306187

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 Credit Card business
• Help partners in the Card business define their business problems, understand root causes and scope analytical solutions to address it
• Build an in-depth understanding of the Card domain and available data assets
• 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 Card business to help drive the delivery to market
• Code your solutions (this is a hands-on position requiring exceptional 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:

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