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

Nominate & Attend

Quantitative Developer

Vertex Search
London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

ETL Test

Senior Principal Data Scientist

Senior Principal Data Scientist

Principal / Senior Data Scientist

Senior Data Scientist - Media Optimisation

Quant Developer - Systematic Trading Startup


Our client is a startup quant trading company that applies rigorous mathematical, statistical, and machine learning techniques to investment management. Their founders have had hugely successful careers within quant finance and they are looking to hire talented quantitative developers and researchers to help them develop their technology and trading platforms in advance of launching live trading operations.


The role includes a wide range of potential responsibilities depending on the candidate’s experience and the needs of the business. You may be required to:

  • Develop the technology for their core data platform, including tools and systems for storing, processing, and analysing data, as well as integration with external data sources
  • Research and implement trading strategies
  • Implement methods for portfolio construction, risk management, and reporting
  • Design and implement tools for live execution and operational support


Successful candidates will require a subset of the following:

  • Python
  • C++
  • Machine Learning/AI (Tensorflow, Pytorch)
  • Cloud computing (AWS, GCP preferred)
  • In-depth understanding of algorithms and data structures, and ability to apply them to practical problems
  • Code optimisation and memory management; working with large datasets
  • Computer architecture; how hardware constraints influence system design and implementation
  • Exceptional problem solving ability and the ability to effectively communicate complex ideas
  • A STEM degree from a top tier academic institution is strongly preferred


In return the client offers flexible working hours, a friendly, relaxed and collaborative atmosphere, and a highly competitive salary together with a bonus scheme to generously reward early stage employees once the company is successful.


Vertex Search is working as a recruitment agency on this engagement.

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.