C/C++ Developer- Global Quant Firm

Oxford Knight
London
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer III- Data Engineer, Java/Python

Machine Learning Engineer

Data Scientist (Computer Vision Scientist) (Remote)

Machine Learning Engineer

Senior Data Research Engineer Computer Vision

Commerical Data Analyst

Salary:£200k base

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant firm is looking for a skilled C/C++ Developer. You will join a growing quant trading team to evolve, improve and maintain all elements of the team's infrastructure, including execution, signal generation, model building and back testing.

Developers here are highly valued and well-rewarded for hard work, and as a result, are some of the brightest minds from across the trading, tech, academic and start-up industries. Collaborating extensively with traders and technologists, you can expect exposure to a wide range of exciting and challenging projects. These will include high performance computing, software design and big data, developing high-availability, high-throughput and low-latency solutions.

Technology is viewed by the traders as a crucial component of their continued success. The successful C/C++ Developer will have exceptional communication, analytical and problem-solving skills, comfortable taking ownership of projects and responsibilities.

Requirements

  • Solid C/C++ development experience, including low- and high-level optimization
  • Strong instincts around performance vs simplicity tradeoffs, engineering for maintainability, extensibility and debuggability
  • Good Linux platform skills and experience
  • Bachelor's degree (or higher) in Computer Science or Computer Engineering (or equivalent)


NB: Please do not apply if you're a fresh graduate.

Benefits

  • Competitive base salary & bonus
  • They're willing to be flexible with WFH
  • Have a direct impact and be exposed to cool, cutting-edge technologies
  • Contributions are rewarded; career progression supported
  • Free breakfast, lunch and dinner



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 Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.