Join Our Team at a Leading Quantitative Hedge Fund
A quantitative hedge fund based in Geneva, Switzerland, is currently seeking talented quantitative PhD graduates to enhance our research and trading team. Successful candidates will become integral members of a group of algorithmic trading professionals, embarking on a quantitative researcher career path. Our firm specializes in alternative asset classes, with a significant focus on foreign exchange and futures markets.
Role Description
- Join a tight-knit team of PhD researchers developing systematic trading strategies in foreign exchange, futures, and equities markets.
- Be mentored by senior portfolio managers with extensive experience in algorithmic trading and quantitative fund management.
- Conduct innovative research into trading signals, statistical prediction models, portfolio construction techniques, and risk-return optimization.
- Analyze existing trading strategies and explore methods to enhance their performance in terms of returns profile, execution efficiency, and capacity.
- Review academic work, plan and conduct experiments, and document findings for the team.
- Obtain a thorough understanding of relevant markets, including trading venues, liquidity sources, and other market participants.
- Contribute to developing the programming for the simulation codebase, enabling the team to analyze candidate strategies, including running backtests and evaluating statistical characteristics.
- Develop infrastructure to investigate the performance characteristics of live strategies.
Compensation
We offer highly competitive compensation packages.
Requirements
- Excellent interpersonal and communication skills.
- Proficiency in spoken and written English.
- PhD in a quantitative field such as Engineering, Physics, Computer Science, or Mathematics from a top-tier institution.
- Proven track record in conducting creative, independent quantitative research.
- Strong intuition and demonstrated proficiency in quantitative fields, including statistical modeling, machine learning, optimization, or financial engineering.
- Programming experience; familiarity with a functional programming language is a plus.
- Financial knowledge or experience is advantageous but not mandatory.
Apply online using the form below. Please note that only applications matching the job profile will be considered.