обновлено 28 дней назад
Quantitative Research Internship (Quantitative Trading)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Research Internship (Quantitative Trading) (Machine Learning/Statistics): Developing mathematical models and algorithmic trading strategies from large datasets through hands-on trading games and project work with an accent on probability, statistics, numerical analysis, stochastic optimisation, and machine learning. Focus on interpreting vast amounts of data, implementing novel models, and solving complex problems in systematic trading.
Location: London, United Kingdom; onsite at the London city-centre office
Company
is a global quantitative trading firm developing systematic trading strategies through quantitative research, machine learning, engineering, and market expertise.
What you will do
- Develop mathematical models to identify patterns and insights in large datasets.
- Work on a real-world algorithmic trading problem during project work.
- Learn and apply proprietary dataspaces, modelling approaches, and strategy implementation techniques.
- Participate in hands-on trading games and quantitative research activities.
- Collaborate with researchers, traders, and other participants in classes and project teams.
Requirements
- PhD or research master's student in the penultimate year of study, graduating in 2027 or 2028.
- Academic background in mathematics, physics, statistics, electrical engineering, computer science, operations research, economics, or another quantitative field.
- Strong interest in research, mathematical modelling, data analysis, and problem-solving.
- Analytical, detail-oriented approach and ability to interpret data precisely.
- Clear communication skills and willingness to collaborate and share ideas.
- Availability for a 10-week internship from late June to late August 2027.
Nice to have
- Experience or interest in probability, numerical analysis, stochastic optimisation, machine learning, game theory, or quantitative finance.
- Finance background is not required.
Culture & Benefits
- Structured education programme covering options pricing, machine learning, data analysis techniques, and game theory.
- Non-hierarchical, casual, and collaborative working culture.
- Competitive compensation package for interns.
- Free onsite catering, games room, and dedicated education space at the London office.
- Successful interns may be invited to join the full-time graduate programme in September 2027, January 2028, or September 2028.
Hiring process
- Quantitative research positions are filled on a rolling basis, so early applications are encouraged.
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