4 дня назад
Quantitative Researcher - Graduate: 2027 (Machine Learning)
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Описание вакансии
Текст:
TL;DR
Quantitative Researcher - Graduate: 2027 (Machine Learning): Developing mathematical models and systematic trading strategies from large datasets with an accent on probability, statistics, numerical analysis, stochastic optimisation, and machine learning. Focus on conceptualising research problems, back-testing and iterating strategies, implementing models, and monitoring performance in global markets.
Location: Dublin, Ireland; office-based graduate programme
Company
Susquehanna is a global quantitative trading firm using scientific research, machine learning, and advanced technology to design and deploy systematic trading strategies.
What you will do
- Develop mathematical models to identify patterns in large datasets.
- Conceptualise quantitative research problems and build trading models.
- Back-test, iterate, implement, and monitor systematic trading strategies.
- Participate in hands-on trading games and project work across the quantitative research lifecycle.
- Collaborate with traders, engineers, and other quantitative researchers.
Requirements
- Recent or upcoming PhD, research master’s, or post-doctoral graduate in a quantitative discipline.
- Completed research involving quantitative methods.
- Research-minded approach with strong mathematical modelling and analytical skills.
- Detail-oriented problem solving and the ability to interpret data precisely.
- Clear communication and effective collaboration skills.
- Availability to join the graduate programme in June 2026.
Culture & Benefits
- Industry-focused education programme covering options pricing, machine learning, data analysis techniques, and game theory.
- Classes led by experienced Susquehanna employees.
- Non-hierarchical, casual, and collaborative culture.
- Competitive compensation package for graduates.
- Free onsite catering, games room, and in-house gym at the Dublin office.
Hiring process
- Applications are reviewed on a rolling basis, so early application is encouraged.
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