6 часов назад
Quantitative Trader/Researcher Summer Internship 2027 (2028 Graduates)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Quantitative Trader/Researcher Summer Internship 2027 (2028 Graduates) (Quantitative Trading/Research): Designing, implementing, and deploying high- or mid-frequency trading algorithms while researching strategies and analyzing market data with an accent on quantitative analysis, algorithm development, and analytical computation. Focus on discovering trading patterns, building data-analysis tools, and contributing to libraries that support market-data analysis and trading.
Location: London, with hybrid working opportunities
Company
A global quantitative trading firm with a high-performance electronic trading platform, independent trading teams, and offices around the world.
What you will do
- Design, implement, and deploy high- or mid-frequency trading algorithms.
- Research and enhance existing trading strategies with support from a dedicated mentor.
- Analyze market data to explore trading ideas and identify patterns.
- Create tools for market-data analysis.
- Contribute to analytical computation libraries supporting market-data analysis and trading.
Requirements
- Be a penultimate-year student graduating in 2028.
- Study toward a Bachelor's, Master's, or PhD in mathematics, statistics, physics, electrical engineering, computer science, data science, financial engineering, or a related field.
- Have a strong background in Python and C++.
- Demonstrate strong problem-solving and communication skills.
- Manage multiple tasks in a fast-paced environment and show enthusiasm for new technologies and ideas.
Culture & Benefits
- Hybrid working opportunities in the London office.
- Generous paid time off policies and regional savings plans.
- Free breakfast, lunch, and snacks each day.
- Wellness experiences, selected wellness expense reimbursements, sports teams, and fitness events.
- Volunteer opportunities, charitable giving, social events, and celebrations.
- Workshops and continuous learning opportunities in a collaborative, low-hierarchy environment.
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