3 дня назад
Quantitative Researcher, Equities (Algorithmic Trading)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Researcher, Equities (Algorithmic Trading): Researching and developing intraday statistical arbitrage strategies for equities with an accent on high-frequency market data, predictive signals, portfolio construction, and systematic trading systems. Focus on applying statistical testing, machine learning, NLP, signal processing, and optimization to characterize market inefficiencies and improve execution performance.
Location: Singapore
Company
is a diversified trading firm that combines sophisticated technology and quantitative expertise to trade multiple asset classes and develop non-traditional investment strategies.
What you will do
- Research and develop intraday statistical arbitrage strategies for equities.
- Analyze high-frequency market data to identify short-term predictive signals and market inefficiencies.
- Build and evaluate models for alpha, risk, transaction costs, liquidity, and portfolio construction.
- Apply statistical testing, simulation, performance attribution, machine learning, signal processing, and NLP to validate and improve trading strategies.
- Collaborate with traders and engineers to implement, monitor, and improve systematic strategies in production.
- Design automated trading agents and transition research ideas into fully functional trading systems.
Requirements
- 4+ years of professional experience in equity or futures statistical arbitrage or systematic trading research.
- Advanced degree in statistics, mathematics, machine learning, signal processing, optimization, or another quantitative field.
- Experience handling large datasets with Python or C++.
- Hands-on experience formulating research problems, conducting rigorous analysis, and developing working systems.
- Strong written and verbal communication skills, proactivity, ownership, and meticulous attention to detail.
Culture & Benefits
- Access to clean data integrated with a high-performance computing grid.
- Support from dedicated software developers and collaboration with researchers and traders.
- Autonomy, independent exploration, and encouragement of original approaches.
- Work within a global trading firm operating across major markets and multiple asset classes.
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