Develop and maintain secure, scalable Python and Athena trading applications for front-office commodities teams. Partner with traders, quantitative researchers, sales, middle office, and technology teams to gather requirements and deliver solutions. Troubleshoot production issues, improve performance and resilience, review code, and apply secure software engineering practices. Use enterprise-authorized AI-assisted development tools responsibly for coding, testing, troubleshooting, and documentation while validating outputs for correctness and security.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Athena/ Python Front Office Software Engineer III at JPMorganChase within the Commercial and Investment Banking - Precious Metals and Agriculture - Commodities Technology team you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
As a Athena/ Python Front Office Software Engineer III at JPMorganChase within the Commercial and Investment Banking - Precious Metals and Agriculture - Commodities Technology team you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Works closely with Precious Metals/Agriculture Trading, Quantitative Research, Sales, Middle Office, and other technology teams to gather requirements and deliver reliable and impactful solutions
- Designs, develops and maintains trading applications and systems used by Front Office
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Troubleshoots production issues efficiently in a time-sensitive environment
- Continuously improves code quality, performance and system resilience by developing secure and high-quality production code, and reviewing and debugging code written by others
- Collaborates with global technology teams seamlessly and work in an agile manner
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Bachelor's Degree in Computer Science or equivalent
- Hands-on experience delivering system design, application development, testing, and operational stability
- Experience in performant, large-scale system development in an object-oriented or functional language such as Python, Java, etc.
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. Cloud, object-oriented programming, full stack development - end to end, quantitative finance)
- Strong analytical and problem-solving skills
- Enthusiastic to keep learning and growing, in technical aptitude and business understanding
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications, capabilities, and skills
- Software development experience in commodities, finance, or investment banking preferred, or willingness to rapidly learn the business domain
- Willingness to become proficient and develop in Python, if not already a primary language
- Ability to collaborate with other technology teams to deliver end to end solutions to the business in a constantly changing environment
- Excellent communication skills and ability to work directly with both business users and engineers
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.
JPMorganChase Singapore, Singapore, SGP Office
One@Changi City, Changi Business Park Central 1, Singapore, Singapore, 486036
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