Data Scientist Associate - Payments Data & Analytics

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

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Experience Level

Mid Level