The Role
We are looking to hire a senior Quantitative Researcher to join our systematic trading team in New York or London. This role is suited to someone who wants to remain deeply hands-on in research while also taking on responsibility for mentoring and developing a small team.
You will play a key role in driving alpha generation through advanced machine learning techniques, working closely with Portfolio Managers and engineers to bring ideas into production. Alongside your individual contribution, you will help guide junior researchers—supporting their development, improving research quality, and fostering a collaborative, high-performance environment.
Key Responsibilities
• Develop predictive features from high-frequency market data and alternative datasets for use in machine learning models
• Build and enhance scalable research pipelines across distributed compute environments, covering tree-based methods, deep learning, and NLP/LLM approaches
• Design, test, and deploy systematic alpha signals across equities, futures, and other liquid markets
• Remain actively involved in the full research lifecycle, from idea generation through to live trading and performance optimisation
• Mentor and train junior researchers, providing technical guidance and helping to elevate overall team capability
• Partner with PMs and engineering teams to productionise models and iterate based on real-world performance
• Stay current with academic and industry developments, contributing new research ideas and helping set the team’s direction
Requirements
• MS or PhD in Computer Science, Mathematics, Statistics, or a related quantitative discipline from a leading university
• 5+ years of alpha research experience within a top-tier buy-side firm or global investment bank
• Strong hands-on experience with machine learning techniques, including tree-based models, deep learning, and NLP/LLMs, alongside a solid grounding in statistical methods and overfitting control
• Proficiency in Python (C++ or similar a plus), with experience working in distributed or high-performance computing environments
• Prior experience mentoring or leading others, with a genuine interest in coaching and team development
• Strong communication skills and a proactive, ownership-driven mindset suited to a fast-paced trading environment
