2027 Software Engineer Program_summer Analyst (singapore)

JPMorgan Chase JPMorgan Chase · Banking · Singapore · Corporate Sector

This is a summer analyst internship role for a Software Engineer at JPMorgan Chase. The role involves developing, testing, and troubleshooting software solutions, writing secure code, and collaborating with teams. A key aspect is the use and validation of AI-assisted development tools for tasks like code generation, refactoring, and testing, while adhering to responsible AI practices. The role is within the fintech domain and is considered AI-adjacent as it utilizes AI tools rather than building core AI models.

What you'd actually do

  1. Design, develop, test, and troubleshoot software solutions.
  2. Write secure, high-quality code in at least one programming language, following established standards and best practices.
  3. Collaborate with engineers, managers, and stakeholders across teams to understand problems, share ideas and feedback, and deliver reliable solutions.
  4. Communicate clearly in writing and verbally by articulating problems, documenting solutions, and effectively prompting approved AI-assisted development tools to produce high-quality outputs.
  5. Leverage approved AI development tools (for example, code generation, refactoring, test creation, and documentation) to improve code quality and productivity, while validating outputs through peer review, automated testing, and secure coding practices.

Skills

Required

  • Pursuing a bachelor's Degree with expected graduation between September 2027 through August 2028
  • Available for full time internship from June 2027 to August 2027
  • Demonstrated ability to code in one or more general-purpose programming languages such as Java, Python, Go & other programming languages or technologies like Robotics and Mobile Apps etc.
  • Understanding of software skills such as business analysis, development, maintenance, and software improvement
  • Proficiency in developmental toolsets
  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
  • Have streams and specializations in Computer Science, Information Science, Information Technology, Data Science, Artificial Intelligence, Big Data, or related fields with less than 2 years of experience.
  • Basic knowledge of industry-wide technology trends and best practices.
  • Demonstrate the ability to write secure, high-quality code in at least one programming language, following established standards and best practices.
  • Have experience collaborating with engineers, managers, and stakeholders across teams to understand problems, share ideas and feedback, and deliver reliable solutions.
  • Demonstrate strong written and verbal communication skills, including the ability to articulate technical concepts, document work, and collaborate effectively across teams and tools.
  • Apply automation and modern tooling to reduce manual effort and improve consistency across the software development life cycle.
  • Use approved AI development tools (for example, code drafting, refactoring, testing, and documentation) with appropriate review and validation.
  • Critically evaluate AI-generated outputs and remain accountable for final solution quality and correctness.
  • Follow responsible AI practices in engineering workflows, including secure handling of inputs and outputs and adherence to resiliency and security expectations.

Nice to have

  • Demonstrate interpersonal and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment.
  • Bring curiosity about emerging technologies and thoughtfully assess when and how to apply them.
  • Seek opportunities to build, improve, and deliver technology that creates real-world impact.
  • Apply software engineering skills to projects involving open-ended or ambiguous problems, including breaking work into steps, experimenting with solutions, and iterating based on feedback.
  • Use AI development tools to improve efficiency with tasks such as coding, testing, debugging, or documentation.
  • Demonstrate sound judgment in validating AI-generated outputs and maintaining ownership of solution quality, correctness, and security.
  • Holding the permanent right to work in Singapore is an advantage, however, candidates requiring visa sponsorship may still apply.

What the JD emphasized

  • Critically evaluate AI-generated outputs and remain accountable for final solution quality and correctness.
  • Follow responsible AI practices in engineering workflows, including secure handling of inputs and outputs and adherence to resiliency and security expectations.