Quantitative Developer - Pre/Post-Trade Analytics
Hong Kong
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- AWS
- Python
- TypeScript
Source — Tool mentions in context
- 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)
Your present skillset - Strong proficiency in Python - Solid knowledge of TypeScript
- Strong proficiency in Python - Solid knowledge of TypeScript - Strong experience with Vue.js and modern front-end development
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hong Kong
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- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 21, 2026
- Recorded sightings
- 17
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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