Software Engineer II, Asset Management Trading Technology

Next Frontier Capital

Hong Kong

On-site

HKD 600,000 - 900,000

Full time

14 days+
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Job summary

J.P. Morgan is seeking a Software Engineer II in Asset Management Trading Technology to design, build, and evolve trading platforms across asset classes in Hong Kong.

You will work closely with Traders to resolve issues, deliver scalable Java solutions, and drive innovation using AI-assisted development tools within a rigorous development lifecycle. You will contribute to architecture, implement streaming systems like Kafka, mentor teammates, and participate in end-to-end delivery from design

Qualifications

  • Bachelor's degree in Computer Science or equivalent.
  • Formal training and 3+ years of applied experience.
  • Hands-on experience designing end-to-end software systems.
  • Strong knowledge of core Java and OO design; Kotlin a plus.
  • Experience with messaging and streaming tech such as Kafka.
  • Ability to work in a fast-paced environment.
  • Commitment to reliable, scalable systems.
  • Collaboration with Traders and Quants.
  • Experience using AI-assisted development tools with peer review.
  • Understanding of responsible AI and secure coding.

Responsibilities

  • Support critical applications in production, interacting with users to resolve issues.
  • Design and engineer scalable, high-performance trading systems across asset classes.
  • Collaborate with Traders to deliver impactful solutions.
  • Build core Java applications for mission-critical trading platforms.
  • Architect and implement messaging and streaming tech such as Kafka.
  • Drive technical innovation and platform advancement.
  • Lead code reviews and mentor team members.
  • Participate in full software development lifecycle from design to production.
  • Deploy code to production daily with confidence.
  • Promote diversity, inclusion and respectful team culture.
  • Leverage AI coding assist tools within the workflow with peer review.
  • Apply SDLC tools and secure coding standards for automation.

Skills

Core Java
OO design
Kotlin
Messaging systems

Education

Bachelor’s Degree in Computer Science or equivalent

Tools

Kafka

Job description

As a Software Engineer II in Asset Management Trading Technology, you will help transform trading. You will design, build, and evolve industry-leading platforms that manage orders and execute trades across diverse asset classes. Working closely with Traders, you will support critical applications in production and engineer solutions that automate and optimize the order management lifecycle. You will be part of a team that values technical excellence, creative problem-solving, and rapid delivery, where your expertise will directly shape the future of trading technology.

Job Responsibilities
  • Support critical applications in production, interacting directly with users to resolve issues
  • Design and engineer scalable, high-performance trading systems across multiple asset classes.
  • Collaborate directly with Traders to deliver impactful solutions.
  • Build and develop core Java applications for mission-critical trading platforms.
  • Architect and implement next-generation messaging and streaming technologies such as Kafka and AMPS.
  • Drive technical innovation and contribute creative ideas for platform advancement.
  • Drive the adoption and scaling of GenAI practices within the software development workflow, bringing creative ideas on how to use AI tooling effectively and reliably.
  • Lead code reviews and mentor team members to ensure engineering excellence.
  • Participate in the full software development lifecycle from design through to production.
  • Focus on continuous improvement and fast, iterative delivery.
  • Deploy code to production daily with confidence.
  • Add to team culture of diversity, opportunity, inclusion, and respect
  • 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
  • Bachelor’s Degree in Computer Science or equivalent
  • Formal Training and certification on software engineering and 3+ years of applied experience
  • Proven hands-on experience designing and building end-to-end software systems.
  • Strong knowledge of core Java and object-oriented design principles. Kotlin nice to have.
  • Experience with messaging and streaming technologies e.g. Kafka
  • Solid understanding of modern software architecture and design patterns.
  • Demonstrated ability to work in a fast-paced environment.
  • Commitment to building reliable, scalable, and maintainable systems.
  • Ability to collaborate effectively with cross-functional teams including Traders and Quants.
  • Passion for code quality, engineering excellence, and elegant solutions.
  • Dedication to continuous improvement and rapid delivery.
  • Strong problem-solving skills and creative thinking
  • 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 Trading technology.
  • Knowledge of distributed systems and microservices architecture.
  • Understanding of observability and telemetry principles.
  • Interest in financial markets and trading workflows.
  • Experience mentoring or leading technical teams.
  • Exposure to low-latency or high-throughput systems.

J.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.

J.P. Morgan Asset & Wealth Management delivers industry‑leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Software Engineer II – Java - Asset Management Trading Technology

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