National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Quantitative Researcher - Postgraduate

G-Research
greater london, england, united kingdom
1 month ago
Create job alert

Join to apply for theQuantitative Researcher - Postgraduaterole atG-Research


Do you want to tackle the biggest questions in finance with near-infinite compute power at your fingertips?


G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible, and highly stimulating culture where world-beating ideas are cultivated and rewarded.


This role is based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.


The role

Our researchers use the latest scientific techniques and advanced statistical analysis methods to predict movement in global financial markets.


This requires harnessing massive compute power and using state-of-the-art ML techniques to find innovative solutions, as textbook methods won’t beat the competition.


This is a pure research role where you will develop and test your ideas with real-world data in an academic environment.


Machine Learning College

ML College is an established, in-house learning programme at G-Research. It’s designed to develop our researchers into fully-fledged machine learning practitioners through a world-class, custom curriculum.


ML College is exclusive to new and existing Quantitative Researchers at G-Research, so if you join us in this role, you’ll be able to take advantage of a learning experience tailored to accelerate your knowledge and expertise in machine learning quickly and effectively.


Who are we looking for?

The ideal candidate will have:



  • An interest in applying mathematical concepts to real-world financial problems
  • An interest in implementing theoretical insights as working code
  • A Masters or PhD degree (or be working towards one) in a highly quantitative subject, such as mathematics, statistics, computer science, physics, or engineering
  • Previous financial experience is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here


Why should you apply?


  • Highly competitive compensation plus annual discretionary bonus
  • Lunch provided (viaJust Eat for Business) and dedicated barista bar
  • 35 days’ annual leave
  • 9% company pension contributions
  • Informal dress code and excellent work/life balance
  • Comprehensive healthcare and life assurance
  • Monthly company events


Seniority level


  • Entry level


Employment type


  • Full-time


Job function


  • Finance, Research, and Science


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Researcher

Quantitative Researcher

Quantitative Researcher - HFT

Quantitative Researcher

Quantitative Researcher

Quantitative Researcher

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.