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

Nominate & Attend

Quantitative Strategist (PhD)

Capula
London
4 weeks ago
Create job alert

Social network you want to login/join with:

Please note, we are not actively hiring for this role. Please apply if you are interested in future opportunities within our quantitative strategy group.

Capula is looking to hire Quantitative Strategists in our London office. Successful candidates will have recently completed their PhD, be highly quantitative, and have a clear interest in finance. This is an exciting opportunity to be part of the team of a world-renowned and dynamic global quantitative hedge fund.

Responsibilities:

  • Working closely with researchers and traders on defined project(s) leading directly to trading decisions
  • Backtest trading models and strategies
  • Participate in training in financial modelling, analysis, research methods, and trading strategies, particularly financial flows analysis
  • Apply knowledge of finance theory to enhance existing quantitative decision-making models and tools

Requirements:

What we look for:

  • Graduated or soon-to-graduate with a PhD in a highly quantitative discipline(e.g., Physics, Mathematics, Statistics, Engineering, or another quantitative field)
  • Excellent quantitative and analytical skills, critical thinking, and intellectual curiosity
  • Experience with programming (e.g., Python, C++)
  • Strong academic record
  • Interest in working in a highly dynamic environment

Capula offers a competitive salary, visa sponsorship, relocation assistance, and a benefits package that includes free breakfast and lunch.


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Strategist - Kannon Franchise Pricing Strategic Analytics

Quantitative Strategist

Quantitative Strategist

Quantitative Strategist

Quantitative Strategist - Kannon Franchise Pricing Strategic Analytics

Quantitative Strategist – Treasury Strats

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.