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

Apply Now

Quant Developer (Python or C++ and Machine Learning)

Caspian One
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Quant Engineer - Investment banking

Computer Vision/Machine Learning Research Manager

Data Scientist - Collections Analytics

Machine Learning Solutions Engineer

Data Scientist

We are seeking an exceptionally talented Quantitative Developer to join a growing, high-performing systematic investment team in London. This is a unique opportunity to be part of a small, collaborative, and entrepreneurial group focused on building critical trading infrastructure in the fast-paced world of systematic equities trading.


This role is ideal for a self-starter who thrives in a dynamic environment, with opportunities for career growth and exposure to cutting-edge technology and innovative trading strategies. We are looking for the best of the best, and there is no set budget for this role. If you are passionate about building systems for high-impact trading and want to be part of a top-tier hedge fund environment, we want to hear from you!


Key Responsibilities:

  • Assist in building systems for implementing trading algorithms that the team is actively researching.
  • Design, code, and maintain the team’s trading infrastructure.
  • Develop and maintain tools to support systematic trading infrastructure.
  • Conduct data analysis and generate both live and historical analytical reports.
  • Stay up-to-date with the latest technologies and tools, including technical libraries and computing solutions.
  • Collaborate closely with the Senior Portfolio Manager (SPM) and trading group, engaging transparently in the entire investment process.


Preferred Technical Skills:

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Applied Mathematics, Statistics, or a related STEM field.
  • 5+ years of experience with Python and C++.
  • Strong understanding of computer hardware and optimization techniques.
  • Proven experience in building out production trading infrastructure.
  • Experience creating quantitative tools for research purposes.
  • Strong communication, analytical, and quantitative skills.
  • Ability to manage and complete projects independently.


Preferred Experience:

  • Open to candidates with strong backgrounds from both finance and technology sectors.
  • Experience working directly with systematic trading teams or building tools for quantitative research is highly desirable.


This role requires 5 days a week in the office, providing you the chance to work closely with top-tier professionals in a hands-on, interactive environment. If you’re ready to bring your skills and experience to a challenging yet rewarding role with a leading hedge fund, apply now!


Note:This position does not have a predetermined budget, and we are seeking only the most talented candidates who can deliver exceptional results.

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

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Jobs

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

🍪 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.