обновлено 28 дней назад
Quantitative Researcher - Graduate: 2027 (Machine Learning)
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Описание вакансии
Текст:
TL;DR
Quantitative Researcher - Graduate: 2027 (Machine Learning): Developing and refining systematic trading strategies through mathematical modelling, data analysis, back-testing, and implementation with an accent on probability, statistics, stochastic optimisation, and machine learning. Focus on conceptualising research problems, uncovering patterns in large datasets, iterating trading strategies, and monitoring their performance.
Location: Dublin, Ireland; onsite work in the Dublin city-centre office
Company
is a global quantitative trading firm that uses scientific research, machine learning, and advanced technology to develop systematic trading strategies.
What you will do
- Develop and refine quantitative trading strategies.
- Conceptualise research problems and build mathematical models using large datasets.
- Analyse data and identify actionable patterns and insights.
- Back-test, implement, iterate, and monitor trading strategies.
- Participate in hands-on trading games, project work, and structured quantitative trading education.
Requirements
- Recent or upcoming research master’s or PhD graduate, or post-doctoral researcher, in a quantitative discipline.
- Research-oriented approach with strong mathematical modelling abilities.
- Knowledge of probability, statistics, numerical analysis, stochastic optimisation, or machine learning.
- Strong analytical, detail-oriented, and problem-solving mindset.
- Clear communication and ability to collaborate with researchers and traders.
- Availability to join the graduate programme in June 2026.
Culture & Benefits
- Industry-focused education covering options pricing, machine learning, data analysis techniques, and game theory.
- Non-hierarchical, casual, and collaborative working culture.
- Collaboration with researchers, engineers, and traders.
- Competitive graduate compensation package.
- Free onsite catering, games room, and in-house gym at the Dublin office.
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