Data and AI Program; Summer Analyst

Leveraging modern tools (e.g., AWS, CoPilot, Snowflake, Data Bricks, LLM), you will integrate diverse datasets, run experiments tied to key performance indicators, and deliver actionable insights. This program provides hands‑on experience, mentorship, and training in a collaborative, innovation-focused environment—positioning you to contribute to high-impact initiatives across the firm while building a strong foundation in Data & AI.

As aSummer Analystin theData & AI ProgramatJPMorgan

Chase, you will help drive transformation by combining your technical skills, business context, and modern tools to deliver real-world impact for our clients and customers.

You will collaborate with global experts to develop end-to-end data and AI solutions and contribute to positive change for the diverse communities we serve. You will receive mentorship, training, and support as you build your career in a culture where we value your ideas and help you grow.

As it is a pipeline for future graduate opportunities, based on individual performance and achievements, at the end of the summer, top performers may be invited to join us for full-time role upon graduation.

• Build intelligent systems that power real business outcomes, from machine learning models to generative artificial intelligence and agent-based solutions.

• Work hands‑on with cutting-edge technologies to design, develop, and deploy artificial intelligence capabilities that automate processes and enhance decision‑making.

• Apply data, statistics, and modeling to solve complex problems and generate actionable insights.

• Develop predictive models, test hypotheses, and analyze trends to help teams make smarter, data‑driven decisions.

• Support data governance, risk management, and data standards to help ensure data is secure, trusted, and ready for artificial intelligence use.
• Implement controls, improve data quality, and enable frameworks and structures that make solutions safe, scalable, and effective

• Collaboratein agile teams and contribute ideas from day one in a culture that supports your growth and impact.

• Learnthrough mentorship and training while building a strong foundation in data, analytics, and artificial intelligence.

• Pursuinga Bachelor’s in a quantitative or technical discipline (e.g., Data Science, Machine Learning, Computer Science, Artificial intelligence or Mathematics).
• Graduatingbetween September 2027 and August 2028.
• Available for full time internship from June 2027 to August 2027
• Meeting the role requirement that no prior work experience is needed.

• Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with experience handling large, complex datasets.
• Use programming languages such as SQL, Python and data & artificial intelligence tools(e.g., AWS, CoPilot, Snowflake, Data Bricks, LLM).
• Understanddata management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.
• Applystrong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, return on investment).
• Communicate clearly in writing and verbally to translate technical work for business stakeholders and collaborate across agile, cross‑functional teams.
• Translate business objectives into testable hypotheses and analytical plans, develops models and experiments, and communicates actionable recommendations to stakeholders.
• Holding the permanent right to work in Singapore is an advantage, however, candidates requiring visa sponsorship may still apply.

Final date to receive applications: 31 October 2026, 2659 SGT

At JPMorgan

Chase, Data & AI sits at the core of how we operate, innovate, and serve our clients. We harness advanced data, analytics, and artificial intelligence to drive better decisions, power products, and deliver real-world impact across global markets.

Our teams work at the intersection of technology and business—developing end-to-end data platforms,…