Campus Quantitative Researcher (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Campus Quantitative Researcher (Fintech): Developing predictive models from big data and algorithms for automated trade execution with an accent on statistical analysis and machine learning. Focus on designing automated trading strategies and leveraging supercomputing power to compete in global financial markets.
Location: London or Amsterdam
Company
is a global quantitative trading firm that applies cutting-edge research from mathematics, physics, and computer science to financial markets.
What you will do
- Build predictive models from big data to identify trading opportunities.
- Develop algorithms for automated trade execution across various global financial exchanges.
- Complete a rigorous training program covering market mechanics, statistics, and programming.
- Operate at the intersection of quantitative research, data science, trading, and software development.
- Devise and test automated trading strategies using one of the world's largest supercomputers.
Requirements
- Outstanding analytical skills and a degree from a top undergraduate or graduate program.
- Strong proficiency in programming (Python, C++, R) and quantitative analysis.
- Expertise in statistics, data mining, mathematics, or machine learning.
- Exceptional drive to learn and an entrepreneurial spirit.
- Academic background in CS, Mathematics, Physics, Electrical Engineering, or similar technical disciplines.
Culture & Benefits
- Comprehensive health coverage including private medical, vision, dental, and travel medical insurance.
- Financial security through a group pension scheme, life assurance, and income protection.
- Support for family through paid parental leave.
- Commuter benefits and parking assistance.
- Collaborative, high-performance culture focused on innovation and intellectual honesty.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →