Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Equity Quant Researcher Opportunity - London/Dubai

Selby Jennings
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer - Central Services

Machine Learning Solutions Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Equity Quantitative Researcher Location: Dubai, London I am currently working on an exciting role with a Hedge fund with >£5bln/AUM. The role has a focus on equities in the mid-frequency range. The selected candidate will have the opportunity to quickly progress to a sub-PM role taking control of some of the book. The PM has been in the role for several years and has a proven track record spanning over 8 years. The job offers an opportunity for applicants to work closely with an experienced PM, quickly progress their career and give them the chance to work in a strong collaborative team. Key Responsibilities: Develop, test, and implement quantitative models aimed at generating alpha in equity markets. Research and identify new trading signals and strategies using large data sets, machine learning, and statistical analysis. Perform in-depth back-testing and stress-testing to ensure the robustness of the models. Collaborate closely with the PM to develop alpha signals and execute in the market. Continuously monitor and refine existing strategies, identifying areas for improvement and risk mitigation. Stay up-to-date with the latest developments in quantitative finance, data science, and market trends to drive innovation. Requirements: Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field. Proven experience in developing and deploying quantitative trading strategies, preferably within equity markets. Strong programming skills in Python, R for algo development and data analysis. Experience with machine learning, statistical modelling, and signal generation. Experience working with large data sets, databases, and time series data. Familiarity with portfolio construction, risk management, and performance attribution is a plus.

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.