What are the responsibilities and job description for the Data Scientist Vice President - Consumer & Business Intelligence position at JPMorgan Chase?
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 Vice President in 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
- Play a leading role in establishing and executing the team’s data strategy
- Recognize and communicate meaningful trends/patterns in data as it relates to consumer and business health
- 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
- Clearly, carefully, and quickly articulate discoveries with solid data support
- Contribute to the critical thinking and thrive in a fast-paced, competitive environment that prides itself on attention to detail and results
- Help develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues
- Contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group
Required Qualifications, Capabilities and Skills:
- 5 years’ experience working in a data science or econometrician role and a BS degree in a related field
- Substantial experience with SQL
- Highly proficient in Python or R for data analytics
- Exposure to a variety of machine learning and econometric modelling tools and techniques
- Clear and succinct written and verbal communication - able to frame and present messages for different audiences
- Critical and analytical thinking
- Ability to work independently and manage shifting priorities and projects
- Ability to maintain detail focus and retain big picture perspective
- Excellent interpersonal skills necessary to work effectively with a variety of individuals, departments and organizations
Preferred qualifications, capabilities, and skills
- Master’s degree in relevant field preferred
- Demonstrated commitment to innovation through patents, publications, conference presentations, etc
- Experience managing junior data science talent
- Experience in financial services industry
