Data Scientist Associate

Job Description
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.
• Formal training or 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.

About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.