JPMorganChase
Software Engineer III, Global Equity Portfolio Management Technology
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Design, build, and support scalable portfolio management systems. Triage production incidents with portfolio managers, implement event-driven/streaming pipelines, drive engineering best practices and AI-assisted development, and collaborate with product and stakeholders to translate investment workflows into resilient, observable tools.
As a Software Engineer III in Asset Management Equity Portfolio Management Technology, 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
- Support critical portfolio management applications in production. Partner directly with Portfolio Managers (PMs) to triage incidents, restore service quickly, and drive long-term stability improvements.
- Design and engineer scalable, high-performance systems spanning portfolio construction through portfolio implementation workflows.
- Translate investment workflows into intuitive, resilient tools by working closely with PMs, product partners, and engineering peers.
- Architect and implement event-driven/streaming capabilities (e.g., Kafka) to ingest market data, signals, reference data, and intraday portfolio events with strong observability, replay, and data quality controls.
- Drive engineering best practices (clean code, automated testing, secure coding, CI/CD, peer reviews) to raise quality and delivery speed.
- Champion AI-assisted development practices and help standardize/practice adoption of AI engineering patterns across the team.
- Contribute to a culture of inclusion, respect, and shared ownership across the team.
- 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.
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.
- Proven track record building and delivering highly scalable platforms. (Experience with multithreaded, concurrent, distributed systems)
- Strong expertise in modern UI technologies (JavaScript/TypeScript) and core Java with solid object-oriented design fundamentals. Proven ability to write clean, maintainable, well-tested code.
- Hands-on enterprise development experience with solid understanding of software design principles, especially event-driven architecture and the ability to deep-dive/debug complex production codebases.
- Ability to partner closely with business stakeholders, product leads, and cross-functional technology teams to translate complex needs into actionable roadmaps and measurable outcomes.
- Strong problem-solving skills, sound engineering judgment, and comfort operating in ambiguity.
- AI practitioner with hands-on experience using AI coding/agent tools (e.g., Copilot/Codex/Claude Code)
- 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
- Experience in financial services or Portfolio Management technology.
- Knowledge of distributed systems and microservices architecture.
- Practical cloud-native experience (CI/CD, infrastructure-as-code, observability) is a plus
- Interest in financial markets and portfolio management workflows.
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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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