Senior Lead Software Engineer, Python Developer, Equities Technology - Prime Services

JPMorgan Chase & Co.; Singapore; On-site; SGD 180,000 - 250,000; Full time

Job summary

JPMorgan Chase & Co. in Singapore is seeking a Senior Lead Software Engineer in the CIB Equities Technology - Prime Services team.

You will be a core technical contributor, delivering secure, scalable software across front-office trading workflows and AI-assisted development practices. You will lead agile initiatives, collaborate with traders and researchers, and drive responsible AI implementation and code quality across the SDLC.

Qualifications

• Bachelor’s degree in Computer Science or equivalent.
• 5+ years of software engineering experience in capital markets or related domain.
• Strong knowledge of electronic trading workflows and market microstructure.

Responsibilities

• Write high-quality Python code for front-office systems.
• Collaborate with Traders and Researchers to improve trading workflows.
• Align with stakeholders (technical and non-technical) on solutions.
• Promote AI-assisted development practices, code review, and automated testing.

Skills

Python

Java

Event-driven systems

Analytical skills

Problem solving

Stakeholder communication

Education

Bachelors in Computer Science

Tools

KDB/q

Kafka

AMPS

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior Lead Software Engineer at JPMorganChase within the Commercial and Investment Banking (CIB), Equities Technology - Prime Services team, youare 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.

Job responsibilities

• Write high-quality Python code for front-office Technology Systems
• Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows
• Create alignment with stakeholders, both technical and non-technical.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Execute creative software solutions, design, develop, and technical troubleshoot with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develop secure high-quality production code, and review and debug code written by others
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Bachelor’s Degree in Computer Science or equivalent
• In-depth knowledge of Capital Markets and Equity Market Microstructure
• Strong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis
• Advanced proficiency in Python (or Java) with experience of working on large scale event driven systems.
• Strong analytical, quantitative and problem-solving skills.
• Ability to translate business and quant requirements into scalable target architectures and implementation roadmaps
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.

Preferred qualifications, capabilities, and skills

• Hands on experience in Quantitative Trading and/or Market Analysis
• Familiarity and prior experience on KDB/q will be beneficial
• Knowledge of FIX, Market Data, Order Management Systems will be a strong plus
• Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required
• Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial