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Data Scientist-Vice President

at J.P. Morgan

Mid LevelVisa sponsorship availableData Science/AI/ML

Posted 18 hours ago

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Compensation: Not specified
City: New York City
Country: United States

Join the Center For Economic Intelligence as a Vice President Data Scientist to lead analytics projects that turn macroeconomic and financial data into actionable insights. You will work with large, complex and often unstructured datasets, build statistical, machine learning and generative AI-driven solutions, and apply econometric techniques to uncover economic trends. The role requires cross-functional collaboration with economists, product owners, and strategists, and communicating results to senior executive audiences. Strong programming (Python, SQL, Spark/R), experience in applied research or financial services, and 5+ years of experience are required.

Location: New York, NY, United States

Drive the future of data-driven decision making—join us to transform raw information into actionable insights that power our understanding of the economy and fuel business innovation.

The Center For Economic Intelligence (CEI) is a new organization that monitors, coordinates and develops a holistic internal & external view of the financial well-being of consumers and businesses through the lens of JPMC and third party data. As the nation’s largest bank, we are uniquely positioned to inform public perspective on the direction of the economy. During a time of unprecedented macroeconomic uncertainty, identifying emerging trends and economic relationships is of heightened importance.

As a Data Scientist on the Center For Economic Intelligence team, you will help drive the analytics workflow and development by deploying cutting edge approaches to data wrangling, analysis, and visualization of macroeconomic and financial data. You will collaborate with cross-functional teams to enhance data-driven decision-making and drive strategic initiatives, ensuring impactful business outcomes.

Job Responsibilities:

Plan and lead complex analytics projects from inception to delivery in partnership with other data scientists, economists, product owners, and strategists on the team
Work with large, complex, and often unstructured datasets, transforming them into formats that enable meaningful analysis
Design and implement statistical, machine learning, and generative AI–driven solutions to uncover patterns, test hypotheses, and generate forecasts
Recognize and communicate meaningful trends/patterns in data as it relates to consumer and business health using solid data support
Collaborate and explore emerging trends in income, spend, savings and credit with Economists, Econometricians and Data Scientists
Utilize advanced analytical and econometric techniques to uncover detailed explanations of broader economic trends
Identify and validate data sources and quality
Contribute to the critical thinking and thrive in a fast-paced, competitive environment that prides itself on attention to detail and results
Develop and present insights clearly through reports, visualizations, and presentations tailored to both technical and non-technical senior executive audiences
Stay engaged with emerging trends in alternative data, statistics, ML, and GenAI applications to continually enhance research capabilities

Required Qualifications, Capabilities and Skills:

Degree in a applicable STEM discipline and 5+ years of relevant professional experience
Experience working with large, complex, and often unstructured datasets in applied research or real-world business contexts
Strong programming skills in Python, SQL, Spark, and/or R.
AWS, Snowflake, and/or databricks knowledge desirable
Deep knowledge of statistics and data mining
Expertise leveraging econometric modeling tools and techniques is highly desired
Ability to design and deliver analytical solutions with clear commercial impact, from methodology selection through implementation, validation, monitoring and refinement
Exceptional communication abilities and capable of translating complex quantitative findings for both technical and non-technical executive audiences
Organizational skills and adaptability, with the ability to manage multiple projects in a fast-paced environment and work independently while engaging colleagues and managers for alignment and feedback

eferred qualifications, capabilities, and skills

Experience with applying Generative AI tools to enhance analysis
Advanced degree in a relevant field
Experience in economics or the financial services industry

This role is not eligible for visa sponsorship or relocation assistance

Boost analytics workflow with innovative data wrangling, analysis, and visualization of macroeconomic financial data.

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