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Quantitative Developer (C++)

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Onsite

Quantitative Developer (C++)

QuanTech Partners

Quantitative Developer (C++)

Skills

Data EngineeringPythonData ScienceGitData AnalysisMachine LearningLinuxAzure

13 days ago

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Important information


Contract type:

Permanent

Location:

Dubai - United Arab Emirates

Work mode:

Onsite

Published on:

9 October 2026

What they need


About the role

We're hiring on behalf of an established market-making firm for a Quant Developer to join its Market Making team, building the trading algorithms that sit at the core of the business. You'll own the full lifecycle of algorithm development — from research tooling and back-testing through to optimised, production-grade C++ running in live markets. You will work closely with traders and engineers in a collaborative team, contributing ideas directly and deepening your understanding of market microstructure along the way.

Responsibilities

  • Design, develop and deploy trading algorithms and the research workflow and tools that support them.
  • Build and run back-testing frameworks to take strategies from idea to live trading.
  • Create scalable, standardised solutions in partnership with the trading team.
  • Write high-performance, low-latency C++ and drive extensive testing and optimisation to production standard.
  • Uphold engineering best practice across the full SDLC — code review, testing, CI/CD and documentation.
  • Improve compute capability through continual infrastructure development.

Requirements

Essential:

  • 3+ years in a development role within capital markets.
  • Strong modern C++ (C++17/20), with a focus on performance and production-quality code.
  • Hands-on experience working with order books and market depth data.
  • Solid version control and CI/CD experience (Git, Azure DevOps or similar).
  • A rigorous approach to unit and integration testing (e.g. GoogleTest, Catch2).
  • A BSc/MSc in Computer Science, Mathematics or a related field.
  • Fluent English, and a curious, autonomous, problem-solving approach with strong team spirit.

Desirable:

  • Exposure to high-frequency or market-making trading strategies.
  • Python for research, data analysis or tooling.
  • A background in machine learning, data science or data engineering.
  • Familiarity with low-latency techniques — memory management, concurrency, profiling and Linux performance tuning.

Why apply

  • Direct impact on P&L — you'll work alongside traders, with your code running in live markets.
  • End-to-end ownership, from research and back-testing to deployment.
  • A collaborative, flat team where good ideas move quickly into production.

To apply, or for a confidential discussion about this role, please get in touch.

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