1 день назад
Quantitative Developer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Developer (Python/statistical trading): Developing Python tools and improving simulation and backtesting infrastructure for quantitative trading strategy research with an accent on statistical libraries, research workflows, and APAC market collaboration. Focus on iterating with quantitative researchers, monitoring research jobs, and improving the performance of trading strategies.
Location: Singapore
Company
is a global quantitative trading firm developing electronic trading infrastructure and supporting independent systematic trading teams.
What you will do
- Collaborate with quantitative researchers to improve quantitative trading strategies and desk P&L.
- Develop Python tools for trading strategy research.
- Improve the existing simulation and backtesting framework.
- Monitor and maintain quantitative research jobs.
- Support the global research team with APAC-related research through cross-team communication.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Very good knowledge of Python and statistical libraries including NumPy, Pandas, and Polars.
- At least 2 years of Python development experience.
- Strong problem-solving skills in a fast-paced, collaborative, geographically distributed environment.
- Excellent communication and teamwork abilities.
Nice to have
- C++ development experience.
- Bash or other scripting language experience.
- Experience with workflow management and task scheduling.
- Knowledge of equities and equity derivatives trading.
Culture & Benefits
- Hybrid working opportunities.
- Generous paid time off policies.
- Savings plans and financial wellness tools available in each region.
- Daily breakfast, lunch, and snacks.
- Wellness reimbursements, in-office wellness experiences, sports teams, fitness events, volunteer opportunities, and charitable giving.
- Workshops and continuous learning opportunities in a collaborative workplace.
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