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Quantitative Systematic Trader - Graduate: 2027
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Описание вакансии
Текст:
TL;DR
Quantitative Systematic Trader - Graduate: 2027 (Quantitative Trading): Identifying trading signals and developing algorithmic strategies through quantitative research, coding, and trading simulations with an accent on mathematical modeling, machine learning, and large-scale data analysis. Focus on solving real-world trading problems, implementing strategies, and collaborating with trading, quantitative research, and technology teams.
Location: London, United Kingdom; based in the London city-centre office
Company
is a global quantitative trading firm using scientific research, machine learning, and technology to develop systematic trading strategies.
What you will do
- Identify trading signals and develop quantitative trading strategies.
- Build mathematical models to uncover patterns in large datasets.
- Write code to process and analyze large datasets.
- Implement strategies using proprietary datasets and modeling approaches.
- Participate in trading simulations and project work focused on real-world algorithmic trading problems.
- Collaborate with trading, quantitative research, and technology teams.
Requirements
- Be a soon-to-be master's or PhD graduate, or a postdoctoral researcher, in a quantitative discipline.
- Be available to join the program in June 2027.
- Have experience writing code to process and analyze large datasets.
- Demonstrate research ability and an interest in building mathematical models.
- Communicate clearly and collaborate effectively with colleagues.
Culture & Benefits
- Industry-leading education covering options pricing, machine learning, data analysis, game theory, and trading.
- Hands-on project work, trading simulations, and in-house trading games.
- Non-hierarchical, casual, and collaborative working culture.
- Competitive compensation package.
- London office with free onsite catering, a games room, and dedicated education space.
Hiring process
- Applications are reviewed on a rolling basis, so early applications are encouraged.
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