Business Intelligence Data Scientist - Private Bank - Vice President

We are seeking an experienced Data Scientist with strong expertise in advanced analytics, machine learning, and statistical modeling to join the JPMorgan Private Bank.

The successful candidate will play a key role in developing and deploying data science solutions that drive business strategy, optimize client outcomes, and enable data-driven decision-making across the organization.

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.

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 en...