Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are seeking a highly motivated Quantitative Researcher to join a world class trading team and contribute to the development of medium-frequency equity trading strategies across global markets. The successful candidate will possess strong research intuition, programming ability, and a demonstrated track record of systematic strategy development and implementation. This role offers the opportunity to work in a collaborative, research-oriented environment with significant exposure to both the China and U.S. equity markets.
Responsibilities:
- Conduct quantitative research and strategy development focused on medium-frequency equity trading in global markets including China and U.S.
- Design and implement systematic models for signal generation, portfolio optimization, and risk management
- Perform rigorous backtesting, simulation, and performance attribution of trading strategies.
- Contribute to multi-strategy portfolio integration and cross-market analysis.
- Collaborate with developers and data engineers to deploy strategies into live trading environments.
- Explore and apply machine learning methods to enhance model performance and signal discovery.
- Participate in continuous research aimed at improving existing models and identifying new alpha opportunities.
Qualifications:
- Minimum of 3 years of relevant experience in quantitative research or equity trading.
- Proven experience in medium-frequency equity strategy development, with exposure to the China and U.S. markets strongly preferred.
- Experience with T+0 strategies or live trading implementation in the China market is an advantage.
- Strong capability in portfolio optimization and multi-strategy integration.
- Familiarity with machine learning techniques as applied to quantitative equity research is preferred.
- Advanced degree in a quantitative discipline such as Mathematics, Computer Science, Engineering, Physics, or related field.
- Proficiency in Python, C++, or other analytical programming languages, and strong understanding of data analysis frameworks.
- Excellent teamwork, communication, and independent research skills.
- Willingness to work in Singapore.
