Drive the future of data-driven decision making—join us to transform raw information into actionable insights that power our understanding of the economy, the rapidly evolving AI landscape, 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 JPMorganChase 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 and rapid AI-driven disruption, identifying emerging trends and economic relationships is of heightened importance.
As a Data Scientist Lead within the Center for Economic Intelligence team, you will be a key strategic and technical partner in driving end-to-end data science execution—from data curation, analytics and modeling to insight generation—in collaboration with economic domain experts and cross-functional stakeholders. You will use the latest LLM models to power code development, statistical analysis, visualization and narrative development of macroeconomic and financial data while using proprietary JPMC tools along with capabilities enabled through leading data platforms (e.g., Snowflake, Databricks, AWS, etc.).
This role will have two main responsibilities:
- AI Disruption Monitoring (~50%): Help stand up a new workstream to develop high-frequency monitoring of holistic AI-relevant trends, inclusive of customer dynamics, market effects, and beyond. This work requires both strong technical execution (building pipelines, integrating data sources, designing analytical framework) and strategic thinking to help shape the research agenda and identify the highest-signal indicators. You will own the technical design and analytical execution while serving as a thought partner on research priorities.
- Local Economic Intelligence (~50%): Advance our existing Local Impact workstream, by developing scalable, high frequency assets that unlock intelligence to local decision-making and storytelling for both the business and our cross-sector partner ecosystem.
This individual should have a demonstrated track record of delivering complex analytical projects autonomously, staying ahead of the curve on technology and tool adoption, have a self-starter mentality, strong working knowledge of the AI and GenAI landscape and/or local economic development landscape, and a demonstrated ability to navigate a matrixed organization and drive progress across complex stakeholder environments.
Job Responsibilities:
- Plan and execute complex analytics projects from inception to delivery in partnership with other data scientists, economists, product owners, and strategists on the team
- Design and build data pipelines and monitoring systems that integrate 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
- Advise on research agenda priorities and analytical approaches, identifying the highest-signal indicators and most defensible methodologies
- Recognize and communicate meaningful trends/patterns in data as it relates to consumer and business health and AI-driven disruption using rigorous data support
- Collaborate with economists, econometricians, and data scientists to explore emerging trends in income, spend, savings and credit with other economists, econometricians and data scientists
- Proactively identify, evaluate, and validate new data sources — including building on analytical work done by other teams across the firm where applicable
- Utilize advanced analytical and econometric techniques to uncover detailed explanations of broader economic and technology-driven trends
- Contribute to critical thinking and thrive in a fast-paced, results-oriented environment that prides itself on attention to detail and impact
- Develop and present insights clearly through reports, visualizations, and presentations tailored to both technical and non-technical senior executive audiences
- Champion the use of GenAI and Agentic AI tools throughout all aspects of the role to drive efficiency, innovation and accelerate our strategic vision
Required Qualifications, Capabilities and Skills:
- Master’s degree in a quantitative discipline with 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
- Strong working knowledge of the GenAI and LLM ecosystem — including familiarity with major platforms, use cases, market dynamics, and emerging trends in agentic AI
- Expertise leveraging econometric modeling tools and techniques is highly desired
- Ability to design and deliver analytical solutions with clear impact, from methodology selection through implementation, validation, monitoring and refinement
- Demonstrated ability to build and maintain automated data pipelines and monitoring systems
- 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
- Comfort operating as both a builder and a strategic thought partner — able to shift between hands-on technical execution and advising on research direction
Preferred qualifications, capabilities, and skills
- Experience in economics or the financial services industry