J.P. Morgan
Business Intelligence Data Scientist - Private Bank - Vice President
J.P. Morgan, New York, New York, us, 10261
Job Summary
The Data Scientist will report to the Head of Strategic Analytics within the Business Intelligence organization for JPMorgan Private Bank. In this role, you will lead analytical initiatives that shape business strategies through data-driven insights, leveraging advanced statistical analysis, machine learning, and AI techniques. You will design, build, and deploy predictive models and analytical solutions, based on the onboarding and integration of external and internal datasets to deliver actionable insights. You will collaborate with business, sales, and marketing leadership to embed data science into the organization’s decision-making framework, driving continuous improvement and innovation.
Key Responsibilities Data Science & Advanced Analytics
Work closely with cross-functional teams (business, sales, marketing, technology) to understand requirements and deliver impactful data science solutions
Design, develop, and deploy machine learning models and advanced analytics solutions to solve complex business problems.
Apply statistical analysis, predictive modeling, and AI/ML techniques to extract insights from large, complex datasets.
Conduct exploratory data analysis (EDA) to identify trends, patterns, and opportunities for business growth.
Communicate findings and recommendations to stakeholders through clear visualizations and presentations.
Data Acquisition and Sourcing
Identify, evaluate, and acquire data from internal and external sources to support analytical initiatives.
Establish and maintain data partnerships and vendor relationships to ensure reliable data supply.
Assess data quality, completeness, and reliability of new data sources before integration.
Data Infrastructure and Maintenance
Collaborate with engineering teams to implement scalable data pipelines and infrastructure for analytics and modeling.
Ensure data governance standards and security protocols across all integration processes.
Document technical specifications, data lineage, and integration processes for knowledge sharing and compliance.
Implement automated data validation and monitoring to ensure data integrity throughout the pipeline
Required Qualifications
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field.
3-5 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 (Tableau, Power BI, or similar).
Strong analytical and problem-solving abilities, with a proven ability to translate complex data into actionable business insights.
Preferred Qualifications
Master\'s degree in Analytics, Statistics, Data Science, Mathematics or related field
Previous experience in financial services industry and/or wealth management a plus
Knowledge of advanced analytics techniques including machine learning and predictive modeling
Familiarity with cloud-based analytics platforms (AWS, Azure, Google Cloud)
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Key Responsibilities Data Science & Advanced Analytics
Work closely with cross-functional teams (business, sales, marketing, technology) to understand requirements and deliver impactful data science solutions
Design, develop, and deploy machine learning models and advanced analytics solutions to solve complex business problems.
Apply statistical analysis, predictive modeling, and AI/ML techniques to extract insights from large, complex datasets.
Conduct exploratory data analysis (EDA) to identify trends, patterns, and opportunities for business growth.
Communicate findings and recommendations to stakeholders through clear visualizations and presentations.
Data Acquisition and Sourcing
Identify, evaluate, and acquire data from internal and external sources to support analytical initiatives.
Establish and maintain data partnerships and vendor relationships to ensure reliable data supply.
Assess data quality, completeness, and reliability of new data sources before integration.
Data Infrastructure and Maintenance
Collaborate with engineering teams to implement scalable data pipelines and infrastructure for analytics and modeling.
Ensure data governance standards and security protocols across all integration processes.
Document technical specifications, data lineage, and integration processes for knowledge sharing and compliance.
Implement automated data validation and monitoring to ensure data integrity throughout the pipeline
Required Qualifications
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field.
3-5 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 (Tableau, Power BI, or similar).
Strong analytical and problem-solving abilities, with a proven ability to translate complex data into actionable business insights.
Preferred Qualifications
Master\'s degree in Analytics, Statistics, Data Science, Mathematics or related field
Previous experience in financial services industry and/or wealth management a plus
Knowledge of advanced analytics techniques including machine learning and predictive modeling
Familiarity with cloud-based analytics platforms (AWS, Azure, Google Cloud)
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