Data Scientist Associate
J.P. Morgan
Data Scientist Associate
Job Information
- Job Identification 210660166
- Job Category Predictive Science
- Business Unit Commercial & Investment Bank
- Posting Date 09/09/2025, 11:51 AM
- Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB
- Job Schedule Full time
Job Description
Our Payments Data and Analytics team is responsible for delivering high impact insights to help grow our payments business, driving our Payments data strategy, and creating innovative data-driven products for our clients and internal partners. We combine data science/AI/ML expertise, consultative problem solving, design thinking and a deep understanding of technology to drive value.
As a Data Scientist at JPMorganChase within the Global Payments team of our Commercial and Investment Bank, you will collaborate with our global data science and product teams to deliver high-impact analytics use cases and promote the adoption of our global solutions. You will engage with stakeholders to showcase our data-promoten products, gather feedback, and identify new opportunities for insights and product enhancements.
Job responsibilities:
- Explore how money moves through our network and around the world - working in close partnership with teams selling, developing and creating Payments’ products, including consumer-to-business payments, FX, trade finance and more, turning data into insights to impact the strategy and direction of JPM products.
- Forge close collaborations with internal stakeholders to discern intricate data requirements and deliver actionable insights
- Follow a management consulting type approach to identify and prioritize use cases (through impact orientation, business understanding, program management, executive presence)
- Combine strong analytical thought process with hands on technical skills to solution and advance thinking to "best in class"
- Articulate complex information concisely when communicating to internal stakeholders
- Collaborate with product managers to contribute to the development of robust data assets that power analytical solutions
Required qualifications, capabilities, and skills:
- Applied years of relevant experience in Data Science and Analytics Solutions
- Expertise in SQL
- Expertise in data and analytics platforms, leveraging a range of data mining and data visualization tools such as Databricks, PySpark, Tableau etc.
- Experience in management consulting
- Bachelor's Degree in Engineering /Computer Science/ Statistics/Mathematics or other relevant fields
Preferred qualifications, capabilities, and skills:
- Experience in the payments industry and/or technology-enabled industries
- Experience in cloud computing platforms such as AWS
- Team player with commitment and dedication, maintaining a positive attitude and high performance on high-profile/time-sensitive experiments.
- Experience in problem solving and innovating
- Familiarity of application development process a plus
- Experience in programming
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