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Quantitative research & machine learning

G-Research
City of London
2 days ago
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Overview

Quantitative research & machine learning at our Research Lab tackles complex challenges in quantitative finance using deep mathematical, statistical and scientific rigour. We combine cutting-edge technology with world-class resources to create algorithmic platforms for our clients. Researchers analyse vast, complex datasets to uncover deep, actionable insights, test hypotheses, build models and receive instant feedback to accelerate innovation. Advanced optimisation techniques are designed to extract maximum value from ideas.

Machine learning

Our researchers challenge the efficient market hypothesis every day, applying cutting-edge machine-learning techniques at scale. They harness massive compute power and adapt methods from the latest research or in-house development to maintain a competitive edge.

Machine Learning College

We develop talent through G-Research Machine Learning College. Our researchers arrive from leading global institutions, often after PhDs or postdoctoral work, with publications at major conferences. They work autonomously within a collaborative environment that values curiosity, creativity and deep thinking.

What our people say

Our open culture and freedom for researchers to pursue valuable directions are highlighted by many who interview and work here, with emphasis on smart colleagues, work-life balance and collaboration across teams.

Our people, culture and environment

We foster a collaborative and dynamic environment where researchers, engineers and quantitative scientists work together to learn and grow. The culture supports curiosity, creativity and intellectual challenge.

Interview process
  1. Stage two: Technical interviews — typically four interviews focusing on mathematics; two if ML-focused, each lasting one hour. Expect questions on mathematics, programming and statistics relevant to the space.
  2. Stage three: Leadership interviews — meetings with company leaders after technical interviews.
  3. Online application — CV/resume and basic details, with updates on status within one week.
  4. Interview preparation guide — you may complete a quantitative aptitude assessment or an ML-specific test, depending on background.
How to apply

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


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