Campus Quantitative Researcher (Intern) (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Campus Quantitative Researcher (Intern) (Fintech): Developing predictive models and automated trading strategies for global financial markets with an accent on quantitative analysis and programming. Focus on machine learning, signal generation, and applying scientific research to live trading environments.
Location: London, Amsterdam
Company
is a quantitative trading firm that empowers exceptional talents in Mathematics, Physics, and Computer Science to apply cutting-edge research to global financial markets.
What you will do
- Participate in an intensive 10-week training program focused on quantitative and programming skills.
- Develop predictive models and automated trading strategies for live trading in collaboration with other interns.
- Rotate through several trading teams, working on diverse projects under the mentorship of experienced researchers, traders, and developers.
- Apply Machine Learning, statistics, and C++ to the research process for signal generation.
- Gain experience in the roles of quantitative researcher, data scientist, and algorithmic trader.
Requirements
- Current students in top undergraduate or graduate programs.
- Strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning).
- Exceptional achievements in technical disciplines such as Computer Science, Mathematics, Physics, or Electrical Engineering.
- An uncommon drive to learn, an entrepreneurial spirit, and intellectual honesty.
- Reliable and predictable availability for the duration of the program.
Culture & Benefits
- Culture of constant innovation, fearlessness, and a relentless competitive streak.
- Emphasis on collaboration, mutual respect, and winning together.
- Access to world-class research resources and cutting-edge technologies.
- Direct mentorship from industry-leading quant researchers and developers.
- Opportunity to see research outcomes drive superior risk-adjusted returns.
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