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Client Server Limited

Software Developer C++ Python - Trading

Salary

£100K - £125K

Listed in the posting

Pays more than 54% of 71 software engineer listings in GBP.

This job
£100k–£125k
Typical
£105k
Most pay
£90k–£193k
Apply on WhatJobs

Benefits

  • Equity

Skills

C++
Linux
Python

Full job description

Description

Software Developer / Engineer (C++ Python) London / WFH to £125k

Are you a talented, backend focussed Software Developer with strong C++ and Python skills and a solid understanding of the trade lifecycle?

You could be progressing your career at a technology driven systematic trading firm where you'll develop sophisticated, data driven software powering systematic trading strategies.

As a Software Developer, you'll design, build and optimise proprietary software components, working on technically challenging problems across data processing, transformation and high-performance systems. You'll collaborate closely with exceptional engineers and quantitative researchers from leading hedge funds, global technology companies and investment banks, gaining exposure to advanced trading technology and quantitative strategies.

This is an opportunity to take ownership of meaningful engineering challenges, deepen your technical expertise and contribute directly to systems at the heart of the trading business.

Location

Based in impressive offices near St James's Park, London, you'll work onsite Monday to Friday, collaborating closely with the wider engineering and quantitative teams.

What's in it for you?

As a Software Developer you'll receive a competitive package:

  • Salary up to £125k
  • Challenging technical work within a highly experienced systematic trading team
  • Ongoing learning and professional development
  • Clear opportunities to develop your technical skills and career

Requirements

About You

  • Bachelor's or Master's degree in Computer Science, Engineering or a related discipline.
  • Strong software development experience using both C++ and Python.
  • Solid understanding of the trade lifecycle and financial markets.
  • Excellent computer science fundamentals, including data structures, algorithms, data processing and transformation.
  • Comfortable working in Linux environments.
  • Strong analytical and problem-solving skills, with a naturally curious mindset and a desire to keep learning.
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