Quantitative Analyst - Equities Cash, Vice President
Citi's Global Markets division is a world leader in providing innovative financial solutions to a diverse institutional client base. Within this dynamic environment, our Markets Quantitative Analytics team plays a critical role in developing cutting-edge analytical models and technologies that drive our trading strategies and client offerings. We combine deep quantitative expertise with robust engineering capabilities to deliver solutions that optimize performance, manage risk, and foster innovation across asset classes. This role offers an exciting opportunity to contribute to a team at the forefront of financial technology.
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.
What Citi can offer you
At Citi, we are committed to providing a rewarding and supportive work environment that fosters professional growth and personal well-being. Joining our team in Hong Kong means you will be part of a leading global financial institution that values diversity, collaboration, and innovation. We offer a competitive compensation package that reflects your expertise and contributions, along with opportunities for continuous learning and career advancement. You will work in a dynamic and challenging environment, collaborating with talented professionals and contributing to impactful projects that shape the future of finance. We champion a supportive culture where employees are empowered to thrive and make a tangible difference.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Institutional Trading------------------------------------------------------
Job Family:
Quantitative Analysis------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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