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

Nominate & Attend

Quantitative Analyst

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

Join to apply for theQuantitative Analystrole 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 employ some of the best talents in the field and foster a dynamic, flexible, and highly stimulating culture where innovative ideas are cultivated and rewarded.

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

The role

The Post-Trade Analysis group collaborates with senior stakeholders across the firm—from Research to Portfolio Management—to analyze performance and identify inefficiencies in portfolio behaviors and trading patterns.

As a Quantitative Analyst, you will partner with our engineering team to develop advanced analytical tools and help productionize research findings into reports for ongoing monitoring and dissemination.

Key responsibilities include:

  • Collaborating with stakeholders to deliver accurate research across various assets.
  • Leading rigorous analysis of portfolio behaviors to draw statistically significant conclusions.
  • Performing rapid analysis during crises to support decision-making.
  • Researching and applying new methodologies to enhance group capabilities.
  • Engaging in open debates to critically assess research outcomes.
  • Thinking commercially to maximize value.

Who are we looking for?

The ideal candidate will have:

  • Proven experience in a quantitative or data analysis role with a strong track record.
  • Experience handling large datasets with a focus on aggregation.
  • Good programming skills, preferably in Python.
  • A passion for continuous learning and impactful work.
  • Ability to challenge the status quo and drive improvements.
  • Precision, rigor, and attention to detail.
  • Strong prioritization skills with a commercial mindset.
  • Excellent communication skills to convey complex ideas to diverse stakeholders.
  • Ability to create effective visualizations of complex problems.
  • A demonstrated interest in financial markets.

Why should you apply?

  • Highly competitive salary plus annual discretionary bonus.
  • Lunch provided and a dedicated barista bar.
  • 35 days’ annual leave.
  • 9% company pension contributions.
  • Informal dress code and good work/life balance.
  • Comprehensive healthcare and life insurance.
  • Monthly company events.

Location

London, UK

Seniority level

  • Associate

Employment type

  • Full-time

Job function

  • Analysis and Research

Industries

  • Financial Services and Capital Markets


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Analyst

Quantitative Analyst

Quantitative Analyst (Commodities)

Quantitative Analyst (Commodities)

Quantitative Analyst (Sports Trading)

Quantitative Analyst

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.