Equities Quantitative Researcher - ML-Driven Trading Edge

Qenexus; England; On-site; GBP 90,000 - 135,000; Full time

Job summary

Qenexus is seeking a Quantitative Researcher focused on equities to join its collaborative team. You will build predictive models using large datasets and help design trading strategies to improve execution and performance.

The role requires strong analytical and mathematical skills, proficiency in Python or C++, and a proactive, team-oriented mindset to translate insights into trading edge.

Qualifications

• BSc, MSc, or PhD in a quantitative or technical discipline (Mathematics, Physics, Computer Science, Engineering or similar).
• Strong analytical and mathematical skills with a demonstrable track record of applying them to real trading problems.
• Proficient in Python, C++, or equivalent.
• A collaborative team player with experience working across research and development functions.
• A self-starter who identifies opportunities and takes initiative to drive impact.

Responsibilities

• Build predictive models with large, complex datasets.
• Design, develop, and refine systematic trading strategies to optimise market reactions, order placement, and execution in order to maximise trading performance.
• Utilise modelling, machine learning, and statistical techniques to extract insights from data and translate them into trading edge.

Skills

Analytical skills

Mathematical abilities

Team player

Self-starter

Education

BSc/MSc/PhD in a quantitative or technical discipline

Tools

Python

C++

Job description

Qenexus is seeking a Quantitative Researcher focused on equities to join its collaborative team. You will build predictive models using large datasets and help design trading strategies to improve execution and performance.

The role requires strong analytical and mathematical skills, proficiency in Python or C++, and a proactive, team-oriented mindset to translate insights into trading edge.