C++ Quantitative Developer

Oxford Knight; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Oxford Knight is seeking a strong C++ Quantitative Developer / Software Engineer to join their London team. You will build high-performance components for live trading and simulation, and help automate and strengthen the research infrastructure.

The role offers significant project ownership in a collaborative, start-up‑style environment, with focus on alpha estimation, risk modelling and backtesting across multiple liquid asset classes.

Qualifications

• 3+ years’ development experience in a similar role.
• Strong C++ programming skills; Python is a plus.
• Bachelor’s degree in Computer Science or a quantitative discipline.
• Self-starter with strong analytical and problem-solving skills.
• Experience in small-team, meritocratic environments.
• Experience with SQL, MongoDB, Bash, Git, Docker, Linux/Unix.

Responsibilities

• Build high-performance components for live trading and simulation.
• Increase automation and robustness of the research infrastructure across alpha estimation, risk modelling and backtesting.
• Take significant project ownership in a collaborative, start-up-style environment with direct impact on trading and research platforms.

Skills

C++

Python

Problem solving

Teamwork

Education

Bachelor's degree in Computer Science or quantitative discipline

Tools

SQL

MongoDB

Bash

Git

Docker

Linux/Unix

Job description

This premier investment firm undertakes rigorous research and deploys systematic, computer-driven trading strategies across multiple liquid asset classes. Technology is central to their success, with systematic trading across Equities, FX and Futures, including intraday strategies and an expanding focus on HFT.

Role:

They’re looking for a strong C++ Quantitative Developer / Software Engineer to join their growing development team in London. Working on critical greenfield projects, you’ll build high-performance components for both live trading and simulation, while increasing the automation and robustness of the research infrastructure across areas including alpha estimation, risk modelling and backtesting.

With significant project ownership and a collaborative, start-up-style environment, this is a fantastic opportunity to have a direct impact on both the trading and research platforms.

Requirements:

• 3+ years’ development experience in a similar role
• Strong programming skills in C++ (some Python would be ideal)
• Bachelor’s degree (or higher) in Computer Science or another quantitative discipline
• Motivated self-starter with strong creative and analytical problem-solving skills
• Equally comfortable working independently and within a small team
• Experience working as part of a small trading team
• Experience with any of the following: SQL, MongoDB, Bash, Git, Docker, Linux/Unix
• Meritocratic work culture and environment

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.