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Quantitative Trader - Graduate: 2027
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Описание вакансии
Текст:
TL;DR
Quantitative Trader - Graduate: 2027 (Quantitative Trading/Options): Developing quantitative trading skills through structured education, trading simulations, project work, and embedded experience on a trading desk with an accent on options, game theory, programming, and risk management. Focus on solving complex problems, managing risk, optimising outcomes, and learning to design effective strategies in systematic trading environments.
Location: Dublin, Ireland; office-based programme
Company
is a global quantitative trading firm that combines market expertise, scientific research, machine learning, and technology to develop systematic trading strategies.
What you will do
- Join a full-time graduate programme starting in June 2027.
- Complete structured education covering finance, options, ETF trading, game theory, programming, mock trading, and proprietary trading games.
- Become embedded in a trading desk and gain exposure to quantitative trading strategies.
- Manage risk and contribute to hands-on projects and trading simulations.
- Collaborate with traders, researchers, engineers, and other programme participants.
Requirements
- Be a soon-to-be or recently graduated student.
- Be available to join the programme in June 2027.
- Demonstrate strong problem-solving ability and interest in complex puzzles.
- Communicate clearly, build working relationships, and listen to different perspectives.
- Show ambition, commitment, and a willingness to develop through sustained effort.
Culture & Benefits
- Collaborative, non-hierarchical, and casual working culture.
- Learning directly from senior traders through classroom education and desk-based work.
- Opportunities to work with colleagues interested in mathematics, problem-solving, game theory, and technology.
- Competitive compensation package for graduates.
- Dublin office with free onsite catering, a games room, and an in-house gym.
Hiring process
- Graduate programme hiring is conducted on a rolling basis, so early applications are encouraged.
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