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Вакансия опубликована 7 дн. назад - шансы на ответ снижаются.
8 дней назад
Quantitative Developer (Python/Vue)
Вакансия из Hirify Global, списка международных tech-компанийМэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Quantitative Developer (Python/Vue): Building analytics tools and trader dashboards for automated trading strategies with an accent on pre-trade and post-trade analysis, execution quality, and large-scale market data visualization. Focus on designing scalable data-driven applications, integrating APIs, and ensuring reliability through testing, monitoring, and code reviews.
Location: Hong Kong, Hong Kong; onsite, full-time
Company
Qube Research & Technologies is a global quantitative and systematic investment manager using data, research, technology, and trading expertise across liquid asset classes.
What you will do
- Design and develop pre-trade and post-trade analytics tools for automated trading strategies.
- Build intuitive dashboards for traders and quantitative researchers.
- Develop analytics for execution quality, slippage, transaction costs, positions, risk, and strategy performance.
- Process, analyze, and visualize large volumes of market and trading data.
- Collaborate with traders, quantitative researchers, and technology teams to deliver reliable, scalable solutions across the trading lifecycle.
- Improve the analytics platform architecture, application quality, monitoring, testing, and development processes.
Requirements
- Strong proficiency in Python.
- Solid knowledge of TypeScript and strong experience with Vue.js and modern front-end development.
- Experience designing APIs and data-driven applications.
- Understanding of software engineering principles, testing, and version control.
- Ability to work autonomously, take ownership, and collaborate effectively.
- Proactive, pragmatic, solution-oriented approach with a focus on delivery, reliability, and user experience.
Nice to have
- Knowledge of AWS cloud services.
- Familiarity with CI/CD pipelines and automated deployment practices using GitLab.
- Experience with financial markets, quantitative analytics, or electronic trading.
Culture & Benefits
- Collaborative environment combining quantitative research, trading, technology, and data expertise.
- High level of autonomy and direct exposure to trading activities.
- Equal opportunity workplace that values diversity and respectful collaboration.
- Initiatives and programs supporting work-life balance.
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