Quantitative Developer - Pre/Post-Trade Analytics at Qube Research & Technologies (Hong Kong)
Qube Research & Technologies· Hong Kong·
Job description
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
We are looking for a Quantitative Developer to contribute to the development of analytics tools supporting automated trading strategies. You will work closely with quantitative researchers, traders, and other technology teams to design and deliver solutions covering the entire trading lifecycle, from pre-trade analysis and real-time monitoring to post-trade performance and execution analysis. This role combines quantitative development, data analysis, and full-stack engineering. It offers a high level of autonomy and direct exposure to trading activities.
Your future role within QRT
- Design and develop pre-trade and post-trade analytics tools for automated trading strategies
- Build intuitive dashboards for traders and quantitative researchers
- Develop analytics related to execution quality, slippage, transaction costs, positions, risk and strategy performance
- Process, analyse, and visualise large volumes of market and trading data
- Close collaboration with traders and quantitative researchers to understand their needs and turn them into reliable, scalable solutions
- Contribute to the architecture and continuous improvement of the analytics platform
- Ensure the quality, reliability and maintainability of applications through testing, monitoring and code reviews
- Proactively identify opportunities to improve existing tools and development processes
Your present skillset
- Strong proficiency in Python
- Solid knowledge of TypeScript
- Strong experience with Vue.js and modern front-end development
- Knowledge of AWS cloud services would be a plus
- Familiarity with CI/CD pipelines and automated deployment practices (GitLab)
- Experience designing APIs and data-driven applications
- Good understanding of software engineering principles, testing and version control
- Experience with financial markets, quantitative analytics or electronic trading would be an advantage
- Ability to work autonomously and take ownership of projects
- Excellent communication and collaboration skills
- Proactive, pragmatic and solution-oriented mindset
- Strong focus on delivery, reliability and user experience
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Why work at Qube Research & Technologies
- Compensation & Career Growth: Highly competitive pay. Interns can earn around $12k per month. Over 40% of staff are in a deferred compensation plan with exposure to fund performance. Glassdoor rating of 4.1/5.0, with compensation (4.0) and career opportunities (4.1) as top highlights.
- Culture & Demographics: Young, high-performance culture (74% of staff aged 40 or under, 38% aged 30 or under). 90% of staff reported good team morale in an internal survey. Described as a "fertile ground for experimental research."
- Work Environment: Hybrid/office-based depending on role and location. Offices in London (HQ), Paris, Hong Kong, Singapore, New York, Chicago, Dubai, Mumbai, Geneva, and more. New London office in Victoria.
- Notable Perks: Deferred compensation plan with fund performance exposure. Interns can earn around $12k per month. Strong focus on work-life balance initiatives.
- Engineering Culture: Heavy emphasis on technology (Python, C++, C#, Snowflake, FPGA, low-latency systems, MLflow, Kubernetes). 22% of staff are in Research roles, 6% in Technical roles. Strong support for coding initiatives and academic projects in maths and science.