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

Apply Now

London Start Up Hiring Junior Quant Researcher With Internship Experience

Eka Finance
London
1 year ago
Applications closed

Related Jobs

View all jobs

Founding Machine Learning Engineer / YC Start-up / £140,000 - £160,000

Founding Machine Learning Engineer / YC Start-up / £140,000 - £160,000

Remote Senior Data Engineer - Tasman Analytics

Data Engineer - SaaS Start-up

Data Engineer - Saas Start-Up

Lead Data Engineer

T Posted byRecruiterSmall London start up are looking to add a junior quant researcher with Internship experience .

Role :-

The Quant researchers are responsible for conducting quantitative research using statistical and predictive modelling techniques. The researchers manage all aspects of the research process and work on the full lifecycles of strategy development, including analysis, testing, prototyping, back-testing, and performance monitoring. This position involves the creation ofputer-based models that seek to predict the movements of worldwide financial markets.

Requirements:-

PhD in Engineering/Physicsputer Science/Mathematics/Financial Engineering from a red brick University.

Knowledge of machine learning, linear algebra

Ideally based in London or Europe with no visa requirements.

Programming proficiency with at least one major programming or scripting language ( C++, Java, Python) and strong experience with machine learning methods and techniques.

Interest in working for a start -up.

You will have Internship experience from a fund , bank or asset manager.

Apply:-

Job ID TK

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.

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.

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.

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.