Data Scientist Vice President-Consumer & Business Intelligence

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.

Consumer and Business Intelligence (CBI) 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 in the Consumer & Business 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:

• Master’s degree in a quantitative discipline with 5+ years of relevant professional experience, or a PhD in a related field and 3+ years relevant 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

Preferred qualifications, capabilities, and skills

• Experience with applying Generative AI tools to enhance analysis
• Experience in economics or the financial services industry

This role is not eligible for visa sponsorship or relocation assistance