Why This Role Stands Out
This hybrid role offers unparalleled growth potential, allowing you to contribute to live trading strategies alongside experienced professionals in a research-driven environment. If you possess a strong academic background, a curiosity for markets, and a drive for innovation, you'll thrive in this position. Don't miss this exciting chance to develop cutting-edge quantitative skills and make a significant impact.
Quick Overview
Job Description
London | Start by September 2026
We are partnering with a leading systematic investment team in London seeking an exceptional early-career Quantitative Researcher to join a high-performing, research-driven environment.
This is a rare opportunity to work directly alongside experienced portfolio managers and researchers, contributing to live trading strategies from the outset. The team operates at the intersection of data science, financial theory, and advanced engineering, with a strong emphasis on original thinking and rigorous experimentation.
The Opportunity
From day one, you will be immersed in the research lifecycle—helping to generate, test, and refine alpha signals across liquid global markets. The role is designed for individuals who combine strong academic foundations with a genuine curiosity for markets and data.
You will:
- Develop and evaluate predictive signals using large, complex datasets
- Design and run robust backtests across multiple asset classes and time horizons
- Explore new modelling approaches, including statistical and machine learning techniques
- Work closely with senior researchers and developers to translate ideas into production
- Contribute to improving research infrastructure and data workflows
Who They’re Looking For
This role targets high-potential junior talent ready to step into a front-office research environment.
You should meet one of the following criteria:
- A Master’s graduate (from a leading/red-brick university) with relevant internship experience in quant research, trading, or data science
- A recently completed or soon-to-complete PhD (2025 or 2026) in a highly quantitative discipline
In addition, you will likely have:
- Strong grounding in mathematics, statistics, physics, computer science, or a related field
- Proven programming ability (typically Python; C++ or similar is a plus)
- Experience working with data—cleaning, analysing, and extracting signal
- A methodical, research-oriented mindset with attention to detail
- A genuine interest in financial markets and systematic trading
Why This Role
- Direct exposure to live trading strategies from an early stage
- Highly collaborative, intellectually rigorous team culture
- Meritocratic environment where strong ideas are quickly recognised and implemented
- Clear progression into a long-term research career within systematic investing
Additional Requirements
- Ability to start no later than September 2026
- Right to work in the UK (or ability to secure it quickly)
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