We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Software Engineer III at JPMorganChase within the Asset and Wealth Management line of business, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
We are seeking a well-rounded hands-on quantitative developer that is experienced in building systems that support the full investment management cycle with the main focus on full stack development using Python, Java and AI/LLM tools. You will be part of the front-office technology team and have good business knowledge and communication skills to work with the stakeholders and develop functional specifications. You will be joining a high-performance, award-winning team who build applications that support the investment management cycle including research, portfolio management and investment.
Job responsibilities:
- Works closely with portfolio managers to develop portfolio construction/optimization applications
- Develop an understanding of the data loads and processes related to portfolio construction in the system
- 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.
- Provide support for the teams existing portfolio construction services and applications
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Contribute to the team’s technology modernization initiatives including moving services to Amazon Web Services (AWS)
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, opportunity, inclusion and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced skills in Python or Java.
- 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.
- Proven business skills in understanding wealth management, portfolio management and associated analytics
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Practical cloud native experience
- Desire to use AI/LLM tools in development efforts