Equity Quantitative Researcher
We are seeking a talented and experienced Equity Quantitative Researcher to join a successful trading team at a tier-1 hedge fund in Paris. The team are trading statistical arbitrage strategies, with holding periods ranging from intraday up to a week. You will be leveraging advanced quantitative techniques in order to enhance these strategies and drive improvements in algorithmic trading. They have had several very successful years and as part of their team scale out they are looking for an equity quantitative researcher to contribute innovative ideas, aid with research, design and implementation.
The ideal candidate will have a minimum of 3 years of experience working on the research and development of equity strategies, alpha research, as well as be proficient in both Python and C++.
Key Responsibilities:
- Develop and implement systematic trading strategies focused on equity markets.
- Conduct rigorous quantitative research to identify new trading opportunities and improve existing models.
- Perform backtesting and statistical analysis to validate and optimise strategies.
- Monitor and analyse market trends, datasets, and other relevant information to inform trading decisions.
Qualifications:
- Minimum of 3 years of experience within the quantitative equity space.
- Strong programming skills in C++ and Python.
- Proficiency in statistical analysis and quantitative modelling.
- Experience with backtesting frameworks and data analysis tools.
- Excellent problem-solving skills and attention to detail.
- Strong analytical and mathematical background.
- Ability to work independently and as part of a team.
Preferred Qualifications:
- Advanced degree (Master's/PhD) in a quantitative field such as Mathematics, Statistics, Computer Science, or a related discipline.
- Experience with machine learning techniques and tools.
- Knowledge of macroeconomic factors and their impact on financial markets.
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