Quantitative research & machine learning

G-Research; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology and research firm in Greater London seeks a Quantitative Researcher to develop advanced models for financial markets. Candidates should possess a strong background in mathematics and programming, ideally with a PhD or relevant experience. This role does not require previous finance experience but a passion for data-driven research is essential. The firm offers competitive compensation, a bonus scheme, and a variety of benefits tailored to employees' needs.

Benefits

Competitive salary

Annual discretionary bonus

Wide range of benefits tailored to needs

Qualifications

• Strong background in statistics and programming required.
• No prior finance experience needed, but passion for data-driven research essential.
• PhD or post-doctoral experience in machine learning preferred.

Responsibilities

• Research and develop quantitative models for financial markets.
• Analyse large datasets to discover actionable insights.
• Build, test and optimise algorithmic trading strategies.
• Collaborate with engineers to deliver end-to-end solutions.

Skills

Mathematics

Statistics

Programming (Python, C++, Java)

Machine Learning

Data Analysis

Education

PhD or post-doctoral experience in relevant fields

Record of academic achievement in mathematics, physics, or engineering

Job description

Quantitative Research & Machine Learning

Our Research Lab is a home for curious minds, where researchers apply deep mathematical, statistical and scientific rigour to tackle some of the most complex challenges in quantitative finance. We combine cutting‑edge technology with world‑class resources to create algorithmic platforms that accelerate innovation.

Using rigorous scientific methods, we analyse vast, complex datasets to uncover deep, actionable insights. Our platform enables researchers to test hypotheses, build models and receive instant feedback, accelerating innovation at every step. We then design and implement advanced optimisation techniques to extract maximum value from every idea.

Responsibilities

• Research and develop quantitative models for financial markets.
• Analyse large, complex datasets to discover actionable insights.
• Build, test and optimise algorithmic trading strategies.
• Challenge the efficient market hypothesis using state‑of‑the‑art machine‑learning techniques.
• Collaborate with engineers and fellow researchers to deliver end‑to‑end solutions.

Qualifications

• Record of academic achievement in mathematics, physics, machine learning, computer science or engineering.
• PhD or post‑doctoral experience preferred but not mandatory.
• Strong background in statistics, programming (Python, C++, Java, etc.) and optimisation.
• No prior finance experience required; passion for data‑driven research is essential.

Benefits

Alongside highly competitive compensation and an annual discretionary bonus scheme, we offer a wide range of benefits and perks tailored to your needs. From health and family to lifestyle and more, we take care of our people.

Interview Process

1. Technical Interviews – Four one‑hour sessions focusing on in‑depth mathematics, programming and statistics. Candidates with an ML focus complete two additional ML‑specific interviews.
2. Leadership Interviews – Meetings with senior leaders to discuss fit, vision and future contribution.
3. Online Application – Submit CV/resume and education/contact details. Our Talent Acquisition team reviews the application, and candidates receive an update within one week.

Preparation Guide

Complete a quantitative quiz (either a general aptitude test or an ML‑specific test). Review fundamentals in mathematics, statistics and programming. Prepare to discuss research problems and explain your approach to building and optimizing models.

Join Us

Looking to make an impact at one of the world’s leading quantitative research and technology firms? Explore our open roles and apply now.