Data Science Across Consumer and Community Banking at JPMorganChase
Justin Martin
Executive Director of Data Science
PhD Harvard University (2017), MSc Brown University (2014), BA Vanderbilt University (2010)
Talk 11:00 AM-12:00 PM
Networking Reception 12:00 PM-1:00 PM
Justin will discuss key aspects of a job in data science within a large financial services company (JPMorganChase). He will describe the Focused Analytics Solutions Team (FAST) and his role within that team, in addition to his experience prior to JPMorganChase and prior roles he has had at the firm. He will also cover the high-level goals of the FAST team as well as details on example projects and what a typical day in his role entails. He will close by focusing on how his academic background has enabled success in his career and offer advice on pursuing a career in data science in financial services.
Justin Martin is an Executive Director in Data Science within Data & Analytics at JPMorganChase. As a director on the Focused Analytics Solutions Team (FAST) within Consumer and Community Banking (CCB), Justin leads internal consulting data science teams in delivering business impact through advanced analytics, machine learning, and GenAI across all parts of CCB.
Justin engages with analytics teams in Auto Finance, Wealth Management, Travel, Offers & Shopping, Sales Science, Business Banking, and AML/KYC, among others, to drive value and shape business strategy using a variety of data science tools; examples include ML-driven customer risk scoring, AI-enabled complaint classification, and automation of forecasting processes, saving hundreds of hours annually.
In addition, as part of FAST’s core mission of serving as a talent pipeline into CCB, Justin focuses on building and developing high-performing teams—mentoring mid-level leaders, fostering autonomy, and enabling career mobility that advances future leaders.
Justin joined JPMorganChase and FAST in 2021 after prior work in healthcare data science and earning a PhD in psychology from Harvard University in 2017.
Cost: free
Audience
- Faculty/Staff
- Student
- Graduate Students
Contact
Kisa Kowal
(847) 491-3974
Email
Interest
- Academic (general)