Data Scientist, Center for Economic Intelligence - Sr. Associate

JPMorgan Chase & Co.•New York, NY

About The Position

As a Data Scientist within the Center for Economic Intelligence, you will help drive analytics workflow and development by deploying modern approaches to data design, modeling, analysis, and visualization of macroeconomic and financial data. You’ll join an organization focused on developing a holistic internal and external view of the financial well-being of consumers and businesses using internal and third-party data. You’ll collaborate with Data Scientists, Economists, and Econometricians to identify emerging trends and the economic relationships behind them. You will communicate findings with clear narratives and strong data support to inform decision-making. During a period of heightened macroeconomic uncertainty, identifying early signals in income, spending, savings, and credit is especially important. You’ll contribute to a team culture that prizes attention to detail, thoughtful debate, and delivering results at pace. You’ll also help translate complex analyses into presentations for senior stakeholders, sponsors, and colleagues.

Requirements

Four years of experience in a business strategy and analytics role
Bachelor’s degree in a related field
Substantial SQL experience
Strong experience with at least one of the following: Python, SAS, R, or Alteryx
Strong written and verbal communication, with the ability to frame messages for different audiences
Strong critical and analytical thinking skills
Ability to work independently and manage shifting priorities and projects
Strong attention to detail while retaining a big-picture perspective

Responsibilities

Recognize and communicate meaningful trends and patterns related to consumer and business health
Collaborate with Data Scientists, Economists, and Econometricians to explore trends in income, spending, savings, and credit
Apply advanced analytical techniques to develop detailed explanations of broader economic trends
Identify and validate data sources while assessing data quality and fitness for purpose
Translate analytical results into clear, concise insights backed by strong data support
Contribute critical thinking and attention to detail in a fast-paced, results-oriented environment
Develop presentations that summarize key messages for senior management, sponsors, and colleagues
Promote continuous learning by bringing new ideas and perspectives that strengthen team thinking