Quantitative Researcher - Equities

Job Title: Quantitative Researcher

Job Description

This role offers the opportunity to play a key part in building an internal trading desk, acting as the analytical engine behind trading strategies, algorithms and product innovation. You will work across systematic trading, risk management and pricing, helping to shape how the trading platform operates and scales over time. The position suits someone who enjoys combining rigorous quantitative research with hands-on development in a fast-moving, equities-focused environment.

Responsibilities

• Develop and refine systematic trading strategies within a mid-frequency, equities-focused environment.
• Conduct quantitative research to support and enhance existing trading strategies and identify new opportunities.
• Build and improve risk management processes and tooling to support systematic strategies.
• Design and implement research infrastructure, including robust back-testing frameworks and scalable data pipelines.
• Contribute to inventory management, hedging and pricing strategies to optimise trading performance.
• Help expand modelling capabilities across additional asset classes over time.
• Collaborate closely with trading and technology teams to translate research into production-ready models and tools.
• Monitor and evaluate model performance, making data-driven improvements and adjustments as needed.

Essential Skills

• At least 4 years of experience in a quantitative research role, ideally within systematic trading, market making, or a quantitative fund.
• Proven experience in feature engineering and predictive model building.
• Solid understanding of risk management with a track record of working on systematic trading strategies.
• Strong experience in equities markets.
• Strong development skills in Python or R.
• Working understanding of risk management and optimisation software.
• Familiarity with market making or trading technology stacks.
• Ability to design and implement research infrastructure such as back-testing frameworks and data pipelines.
• Strong quantitative and analytical skills with a rigorous, data-driven approach to problem solving.

Additional Skills & Qualifications

• experience in a retail flow, neo-broker, or market making environment.
• Advanced degree in mathematics, statistics, physics, or a related STEM field.
• experience with market microstructure is a strong plus.
• Comfort working in a small, fast-moving team where you are building systems and processes from the ground up.
• Ability to communicate complex quantitative concepts clearly to non-specialists.
• Proactive mindset with the ability to take ownership of projects from idea to implementation.

Why Work Here?

You will join a small, ambitious team where your work has a direct and visible impact on trading performance and the evolution of the platform. The environment encourages ownership, experimentation and continuous learning, giving you the freedom to shape research infrastructure and strategies from an early stage. You will collaborate closely with experienced professionals across trading and technology, gaining broad exposure rather than being confined to a narrow remit. This is an opportunity to work in a fast-moving setting that values initiative, intellectual curiosity and practical problem solving.

Work Environment

You will work in a modern, technology-driven trading environment focused on systematic, mid-frequency equities strategies. The role is highly collaborative, involving close interaction with traders, engineers and other quantitative researchers. You will use a contemporary quantitative technology stack, with Python and R at its core, supported by risk management and optimisation software, and trading or market making technology platforms. The setting is fast-paced and iterative, with an emphasis on building robust research infrastructure, including back-testing frameworks and scalable data pipelines. The team operates in a professional office environment where the focus is on delivering high-quality research and production-ready tools.

London, UK

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)>

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