JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. The Asset & Wealth Management (AWM) Division is one of the largest in the world. AWM is comprised of two businesses, the Asset Management business which serves institutional clients, and the Global Private Bank business serving high net worth and ultra-high net worth individuals. The Business Intelligence Team within the Global Private Bank is focused on using data to identify and optimize sales productivity and business development efforts and drive development of marketing / business strategies.
The Business Intelligence Data Scientist will report to the Head of Business Intelligence for the International 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.
Job Responsibilities
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. 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.
Required qualifications, capabilities, and skills
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field. 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. 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
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)
