38 минут назад
Quant Research Intern (Summer 2026 – London)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quant Research Intern (Summer 2026 – London) (Systematic Trading): Developing and testing data-driven trading strategies, quantitative models, and scalable trading systems with an accent on financial data analysis, statistical modeling, and systematic investment approaches. Focus on collecting complex datasets, optimizing runtime, reducing operational risk, and solving applied trading problems with Python and quantitative methods.
Location: London Office
Company
is a multi-strategy investment firm founded in July 2024, operating across multiple asset classes and investment styles.
What you will do
- Collect, clean, and manage large and complex financial datasets.
- Develop and test quantitative models for pricing, forecasting, and trading.
- Collaborate with portfolio managers, quantitative researchers, and technologists to design systematic trading strategies.
- Contribute to scalable trading systems, process improvements, runtime optimization, and operational risk reduction.
- Apply programming and analytical methods to solve applied financial market problems.
- Communicate research findings and participate in ongoing discussions.
Requirements
- Pursuing a Master’s or Ph.D. in Machine Learning, Computational Finance, Mathematics, Computer Science, Statistics, or a related field.
- Strong programming skills in Python or another object-oriented or functional programming language.
- Solid understanding of linear and non-linear statistical modeling.
- Ability to analyze large datasets and extract actionable insights.
- Interest in applying technology and quantitative methods to complex trading problems.
- Strong communication and teamwork skills.
Culture & Benefits
- Mentorship from senior investors and quantitative researchers.
- Ownership of meaningful projects in a collaborative and entrepreneurial environment.
- Exposure to multi-strategy investing and systematic trading.
- Opportunity to develop solutions influencing real investment decisions across asset classes.
- Collaboration with teams across New York, Houston, London, Singapore, and Hong Kong.
- Potential for full-time opportunities after successful completion of the internship.
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