Global Banking & Markets, Synthetics Products Group, Full Stack Software Engineer, Associate/ Vice President, Hong Kong

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.

Business Area Description:

The Synthetic Product Group (SPG) business offers institutional clients and hedge funds products which are optimal with respect to tax, balance sheet and funding. Business revenues come from commissions, financing, and dividends through the trading of CFD and Equity Swap OTC instruments alongside futures, ETFs, and structured products. It is part of a front to back alignment where engineers are embedded with the revenue generating part of the business. This provides opportunities to partner closely across the SPG organization to deliver the firm even more effectively and efficiently to our clients

Your Impact:

SPG engineering team is a dynamic and innovative front office team that partners directly with trading, sales, quants, operations, prime services, and other engineering teams across the globe. We focus on building and enhancing the applications and workflows that support the SPG business and our clients.

As a key full-stack developer of the team, you will be at the forefront of various revenue-driven technology builds and working in a fast-paced changing environment. You may be working on a new business initiative to design the trade flow for the firm's synthetic product offerings. You may be building a cutting- edge technology stack that parallelizes the processing of contract lifecycle events with utilities to capture and visualize system performance. If you are interested in learning how the SPG business model works and how to apply your expertise to build the leading industry product to make great impact to the business, this position will be a great fit.

With this role, you will be getting lots of exposure on understanding the business model/principles, as well as how to serve clients and the firm by using your business and technical expertise. You will have the opportunity to liaise with experts in business, engineering, and operations across the globe in an environment that encourages open discussion and is focused on the delivery of robust, reliable software. You will be participating in the full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring system performance. You’ll have access to the latest AI models and backing from the firm to leverage your AI expertise to drive efficiency and innovation. You will learn what the One Goldman Sachs concept is and how we work as a team.

If you are looking for new challenges and opportunities, this is the role that you should apply and consider.

Responsibilities:

• Design, build and maintain high-performance, high-availability, high-capacity, yet nimble and adaptive platforms for risk hedging, trade execution, trade booking and workflow management as well as post-trade processing.
• Design and build solutions to enhance and scale up the infrastructure to support business growth and new products, in a holistic front-to-back approach
• Find opportunities to apply AI as a force multiplier to both technical and business deliverables. Contribute to the SPG AI toolkit and evangelize AI within the organization
• Collect data and metrics from existing systems to guide decision making and business intelligence, developing or enhancing tools as necessary to collect them·
• Communicate with traders, sales, strategists, operations, and compliance officers to gather new requirements, design workflow, deliver features and provide user support

Basic Qualifications:

• Bachelor or master’s degree in Computer Science, Engineering, Quantitative Research or equivalent experience
• 6+ years of professional experience in full-stack software development
• Hands-on experience with Java
• Hands-on experience with agentic AI, skills development, prompt optimization
• A solid understanding of object-oriented programming concepts
• A solid understanding of data structures and algorithms as well as systems design
• Strong communication skills and the ability to work in a team as well as independently

Preferred Qualifications:

• Working experience in the financial industry and front-office facing environment
• Demonstrated people‑management experience is a great plus, including mentoring team members, building high performing team and fostering a collaborative culture
• Financial knowledge and good understanding of Equities Synthetic or Derivative products
• Experience applying AI or automation to real‑world engineering workflows, including familiarity with LLM‑based and AI‑assisted development tools in an enterprise environment
• Experience with dependency injection frameworks such as Spring/Guice
• Prior experience in Web or UI development such as Angular/React
• Prior experience with Linux shell scripting and systems programming
• Experience building real-time low latency systems (order management systems, complex event processing or transaction sequencing architectures)
• JVM internals, tuning for low-latency, GC-free real-time operation
• Prior experience with event-driven systems
• Prior experience with event sourcing (sequenced core stream) based architecture

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