JPMorgan Chase & Co.
Business Intelligence Data Scientist - Private Bank - Vice President
JPMorgan Chase & Co., New York, New York, us, 10261
Join our Private Bank Business Intelligence team and help shape the future of data-driven decision-making. As a Data Scientist, you will have the opportunity to drive impactful business strategies and optimize client outcomes through advanced analytics. We offer a collaborative environment focused on innovation, career growth, and continuous learning. Your expertise will enable us to deliver actionable insights and foster a culture of data excellence. Be part of a team where your skills and ideas make a difference.
As a Data Scientist in the Business Intelligence team within JPMorgan Private Bank, you will lead analytical initiatives that influence business strategy and drive growth. You will design, build, and deploy predictive models and analytical solutions using both internal and external datasets. Working closely with business, sales, and marketing leaders, you will embed data science into our decision-making framework. You will help identify opportunities for improvement and innovation, supporting our mission to deliver exceptional client outcomes. Your work will directly impact the team’s ability to optimize sales productivity and business development efforts.
The Business Intelligence team is dedicated to leveraging data to enhance sales productivity and inform strategic decisions. You will collaborate with engineering and technology partners to ensure robust data infrastructure and governance. Your role will include sourcing and integrating new data, maintaining high standards of data quality, and sharing technical knowledge across the team. We value strong communication skills and the ability to translate complex analytics into clear recommendations. This is an exciting opportunity to join a high-performing team in a leading global financial institution.
Job responsibilities
Work with cross-functional teams to deliver impactful data science solutions
Design, develop, and deploy machine learning models and advanced analytics
Apply statistical analysis and predictive modeling to extract insights from complex datasets
Conduct exploratory data analysis to identify trends and opportunities
Communicate findings and recommendations through visualizations and presentations
Identify, evaluate, and acquire data from internal and external sources
Establish and maintain data partnerships and vendor relationships
Assess data quality and reliability before integration
Collaborate with engineering teams to implement scalable data pipelines
Ensure data governance and security protocols across integration processes
Document technical specifications and integration processes for compliance
Required qualifications, capabilities, and skills
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field
Three years of experience in data science, machine learning, or advanced analytics roles
Advanced proficiency in Python and SQL for data extraction, manipulation, and analysis
Experience with data visualization tools such as Tableau or Power BI
Strong analytical and problem-solving abilities with a proven ability to deliver actionable business insights
Preferred qualifications, capabilities, and skills
Master’s degree in Analytics, Statistics, Data Science, Mathematics, or related field
Previous experience in financial services or wealth management
Knowledge of advanced analytics techniques including machine learning and predictive modeling
Familiarity with cloud-based analytics platforms such as AWS, Azure, or Google Cloud
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As a Data Scientist in the Business Intelligence team within JPMorgan Private Bank, you will lead analytical initiatives that influence business strategy and drive growth. You will design, build, and deploy predictive models and analytical solutions using both internal and external datasets. Working closely with business, sales, and marketing leaders, you will embed data science into our decision-making framework. You will help identify opportunities for improvement and innovation, supporting our mission to deliver exceptional client outcomes. Your work will directly impact the team’s ability to optimize sales productivity and business development efforts.
The Business Intelligence team is dedicated to leveraging data to enhance sales productivity and inform strategic decisions. You will collaborate with engineering and technology partners to ensure robust data infrastructure and governance. Your role will include sourcing and integrating new data, maintaining high standards of data quality, and sharing technical knowledge across the team. We value strong communication skills and the ability to translate complex analytics into clear recommendations. This is an exciting opportunity to join a high-performing team in a leading global financial institution.
Job responsibilities
Work with cross-functional teams to deliver impactful data science solutions
Design, develop, and deploy machine learning models and advanced analytics
Apply statistical analysis and predictive modeling to extract insights from complex datasets
Conduct exploratory data analysis to identify trends and opportunities
Communicate findings and recommendations through visualizations and presentations
Identify, evaluate, and acquire data from internal and external sources
Establish and maintain data partnerships and vendor relationships
Assess data quality and reliability before integration
Collaborate with engineering teams to implement scalable data pipelines
Ensure data governance and security protocols across integration processes
Document technical specifications and integration processes for compliance
Required qualifications, capabilities, and skills
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field
Three years of experience in data science, machine learning, or advanced analytics roles
Advanced proficiency in Python and SQL for data extraction, manipulation, and analysis
Experience with data visualization tools such as Tableau or Power BI
Strong analytical and problem-solving abilities with a proven ability to deliver actionable business insights
Preferred qualifications, capabilities, and skills
Master’s degree in Analytics, Statistics, Data Science, Mathematics, or related field
Previous experience in financial services or wealth management
Knowledge of advanced analytics techniques including machine learning and predictive modeling
Familiarity with cloud-based analytics platforms such as AWS, Azure, or Google Cloud
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