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Data Scientist Associate
mid · Data Science & Analytics
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-promoted 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.
- 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