As an APAC Data Scientist, you will collaborate with our global data science and product teams to deliver high-impact analytics use cases and drive the adoption of our payment solutions. You will also engage with stakeholders to showcase our data-driven 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"
- Concisely articulate complex information in 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:
- 3+ years of relevant experience in Data Science and Analytics Solutions
- Bachelor's Degree in Engineering /Computer Science/ Statistics/Mathematics or other relevant fields
- Expertise in data and analytics platforms, leveraging a range of data mining and data visualization tools such as Databricks, PySpark, Tableau etc.
- Management consulting experience is a plus
- Understanding of application development process a plus; prior programming experience preferred
Preferred qualifications, capabilities, and skills:
- Experience in the payments industry and/or technology-enabled industries
- Experience in cloud computing platforms such as AWS
- Builds trust based relationships with partners across teams and functions
- Loves problem solving and innovating