Data Scientist Lead-Vice President

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 in the Center for Economic Intelligence team, you will help drive the end-to-end data science strategy and execution from data curation, analytics and modeling in collaboration with economic domain experts. You will use the latest LMM 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 the leading data platforms (e.g., Snowflake, Databricks, AWS, etc.).

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 business health using solid data support

• Collaborate and explore emerging trends in income, spend, savings and credit with other 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

• Champion the use of LLM and GenAI through all aspects of the role to drive efficiency, innovation and accelerate our strategic vision

Required Qualifications, Capabilities and Skills:

• Degree in an applicable quantitative 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
• Proficient leveraging Generative AI tools to speed and enhance analysis
• 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 in economics or the financial services industry
• Expertise leveraging econometric modeling tools and techniques is highly desired

We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).