Quantitative Analyst Equities Cash, Vice President

Quantitative Analyst - Equities Cash, Vice President

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As a Vice President, Quantitative Analyst within our Equities Cash Quantitative Analytics team in Hong Kong, you will be instrumental in enhancing our algorithmic execution capabilities. This position is a key part of our team's expansion, designed to significantly boost our capacity and accelerate the delivery of high-quality code. You will leverage your expertise in Java development to build sophisticated algorithmic execution business logic, directly impacting our trading performance. This is a unique opportunity to contribute to a critical area of our business, driving innovation and efficiency in a high-impact role.

Primary Responsibilities of the role

Develop and enhance algorithmic execution business logic using Java for the Equities Cash platform.

Collaborate closely with quant researchers and business partners to translate researched ideas into production-ready solutions.

Adhere to stringent software engineering standards, ensuring high-quality, maintainable, and robust code.

Partner with IT teams to design and build a scalable, low-latency trading platform infrastructure.

Drive rapid delivery of high-quality code, contributing to the team's capacity expansion and overall business objectives.

Apply a strong engineering mindset, prioritizing collaboration, quality, and scalability within a fast-paced trading environment.

What we need from you

Bachelor’s or Master’s degree in Computer Science or a quantitative field.

Extensive relevant professional experience (typically 7+ years) in developing agency‑execution algorithm business logic, primarily using Java, with C# experience also considered.

Comprehensive knowledge of trading rules and market structures within Asia Pacific Markets.

Deep understanding of multi-threaded programming and proven ability to build scalable, low-latency solutions.

Practical experience with agile development methodologies, automated testing frameworks, and CI/CD pipelines.

Demonstrated strong engineering mindset with a focus on collaborative development, code quality, and system scalability.