Data Scientist Associate - APAC Payments Data & 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 an APAC Data Scientist, you will collaborate with our global data science and product teams to deliver high-impact AI & Analytics use cases and drive the adoption of our global solutions. You will 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 partnerships with internal stakeholders to identify complex data requirements and deliver insights that increase revenue and improve client outcomes.
• Identify and explore opportunities to integrate Agentic AI workflows in business operations
• 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 concisely 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:

• 4+ years of relevant experience in Data Science, Analytic Solutions and GenAI/Agentic AI use cases
• 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.
• Exposure to building AI powered solutions including working knowledge of LLMs, prompt engineering, RAG/MCP based integrations etc.
• Experience in cloud computing platforms such as AWS

Preferred qualifications, capabilities, and skills:

• Experience in creating Agentic AI solutions and fluency with the different large language models
• Experience in the payments industry and/or technology-enabled industries
• Management consulting experience is a plus
• Builds trust based relationships with partners across teams and functions