London, UK or Paris, France
Experience Level: 3-8 years
Company Overview:
Our client is a leading asset management firm specializing in quantitative research and trading. They utilize cutting-edge technology and advanced quantitative methods to drive profitability in the global financial markets. With a dynamic team of professionals, committed to innovation, excellence, and continuous growth.
Our client a leading asset management firm are seeking a talented and experienced Senior Quantitative Researcher to join their team in either London or Paris. The ideal candidate will have 3-8 years of experience in quantitative research, with a strong understanding of liquid futures and currencies markets
Responsibilities:
- Conduct quantitative research to identify profitable trading opportunities in liquid futures and currencies markets.
- Develop and implement quantitative trading strategies using statistical analysis, machine learning techniques, and mathematical modeling.
- Collaborate with traders, developers, and other team members to design and optimize trading algorithms.
- Analyze market data, perform backtesting, and evaluate the performance of trading strategies.
- Stay up-to-date with the latest developments in financial markets, quantitative research methodologies, and technology advancements.
- Contribute to the continuous improvement of research processes, tools, and infrastructure.
- Mentor junior team members and provide guidance on quantitative research techniques and best practices.
Requirements:
- Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Engineering.
- 3-8 years of experience in quantitative research or algorithmic trading within the financial industry.
- Strong knowledge of liquid futures and currencies markets, including market microstructure and trading dynamics.
- Proficiency in programming languages such as Python, R, or MATLAB for quantitative analysis and development.
- Experience with statistical analysis, machine learning, and mathematical modeling techniques.
- Familiarity with data analysis libraries (e.g., pandas, NumPy, SciPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Excellent analytical and problem-solving skills, with a keen attention to detail.
- Effective communication skills and ability to work collaboratively in a team environment.
- Fluency in English; proficiency in French is a plus for the Paris location.
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