27 дней назад
2027 DMFI Quant Research Intern (Quantitative Finance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
2027 DMFI Quant Research Intern (Quantitative Finance): Building and enhancing pricing and analytics infrastructure for quantitative trading with an accent on pricing models, derivatives valuation, and real-time performance. Focus on designing calibration, risk computation, and scenario analysis algorithms, and taking quantitative libraries from mathematical theory to production deployment.
Location: London, England, United Kingdom
Company
is a global multi-manager hedge fund investing across quantitative, tactical, fundamental equity, and discretionary macro and fixed-income strategies.
What you will do
- Build and enhance firm-wide pricing and analytics infrastructure used across multiple asset classes.
- Implement and optimize pricing models and numerical methods for derivatives valuation.
- Develop efficient algorithms for calibration, risk computation, and scenario analysis.
- Ensure the core analytics library meets the performance requirements of real-time trading systems.
- Collaborate with quantitative researchers and developers across the full lifecycle from mathematical theory to production deployment.
Requirements
- Current PhD student in a quantitative or technical field, ideally with one year remaining.
- Background in statistics, mathematics, physics, electrical engineering, or a related field.
- Excellent programming skills in Python, C, C++, C#, or Rust.
- Strong knowledge of probability, including stochastic calculus, and statistics.
- Ability to communicate research ideas clearly and succinctly.
- Creative problem-solving skills and strong attention to detail.
Nice to have
- Previous financial industry experience.
- An advanced degree in a quantitative or technical field.
Culture & Benefits
- Ten-week summer internship with a dedicated manager and mentor.
- Learning sessions with senior leaders and hands-on skills workshops.
- Opportunities to network with peers and senior professionals through social and educational events.
- Learning and educational offerings, internal networks, external partnerships, and service initiatives.
- Collaborative culture that encourages learning, innovation, and sharing ideas at all levels.
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