4 дня назад
2027 Quantitative Researcher Graduate (DV Equities)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
2027 Quantitative Researcher Graduate (DV Equities) (Quantitative Research/Algorithmic Trading): Analyzing market data and developing predictive signals, quantitative models, and trading strategies across multiple time horizons with an accent on statistical modeling, tree-based machine learning, and high-frequency time-series data. Focus on backtesting models, building large-scale data pipelines, and refining live strategies based on market feedback.
Location: Hong Kong
Company
is a proprietary financial trading firm using its own capital, strategies, and risk management to provide liquidity to global markets. DV Equities operates the group's Asia-Pacific equities and futures market-making business.
What you will do
- Analyze market data to identify patterns, inefficiencies, and predictive signals across multiple time horizons.
- Build and backtest quantitative models using historical market data in simulation environments.
- Apply statistical and machine learning techniques, especially tree-based methods, to improve signal quality.
- Work with traders and researchers to convert research findings into robust trading strategies.
- Develop and maintain data pipelines for large-scale, high-frequency, and time-series market data.
- Monitor live strategy performance and refine models using backtest results and real-market feedback.
Requirements
- Currently pursuing a Bachelor's, Master's, or PhD in a quantitative field, with expected graduation by Summer 2027.
- Strong proficiency in Python.
- Strong foundations in mathematics, probability, and statistics.
- Genuine interest in financial markets, algorithmic trading, and market microstructure.
- Ability to learn quickly, solve complex problems, multitask, communicate clearly, and remain composed under pressure.
- Experience with SQL, statistical modeling, or C++ is highly preferred.
Nice to have
- Prior internship experience in trading, quantitative research, or data analysis.
- Hands-on experience with high-frequency order book research or long-term signal generation through academic, internship, or independent projects.
Culture & Benefits
- Close collaboration with senior researchers and traders.
- Exposure to real trading decisions and live strategy performance.
- Increasing independence in developing and iterating research prototypes.
- Inclusive equal-opportunity workplace.
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