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

Nominate & Attend

Quantitative Researcher │PhD and Post-Doc

Selby Jennings
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Quantitative Researcher at one of the most well-paid multi-strat Quant firms

Quantitative Researcher

Quantitative Researcher

Quantitative Researcher Systematic Trading Leading Hedge Fund London

Quantitative Researcher

Quantitative Researcher

We are seeking talented PhD and Post-Doc. graduates to join a successful centralised quant team at a tier-1 hedge fund in London. The team is highly collaborative, made up of people from incredibly strong academic backgrounds and they are now looking to onboard PhD and Post-Doc. graduates, starting in 2025/early 2026. The ideal candidate will have a PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning or Physics.

You will be developing skills in advanced quantitative techniques across a range of data types, markets and asset classes, in order to enhance their existing strategies and drive implementation of new signals and models. They have had several very successful years and as part of their team scale out they are looking for PhD and Post-Doc. graduates to contribute innovative ideas, aid with research, design and implementation.

Key Responsibilities:
Analysing and evaluating financial and alternative datasets
Researching existing and developing new techniques in machine learning
Researching, developing and implementing quantitative trading signals/models
Developing and maintaining modelling infrastructure
Supporting production trading operations

Qualifications:
Have a PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning or Physics.
Strong programming skills in Python.
Excellent problem-solving skills and attention to detail.
Strong analytical and mathematical background.
Ability to work independently and as part of a team.

Preferred Qualifications:
Experience with data analysis tools.
Experience with machine learning techniques and tools.
Knowledge of global macroeconomic factors and their impact on financial markets.

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.