Quantitative Developer (C++)

QuanTech Partners; Dubai; On-site; AED 380,000 - 620,000; Full time

Job summary

QuanTech Partners is seeking a Quant Developer to join its Market Making team. You will own the full lifecycle of algorithm development—from research tooling and back-testing to optimized, production-grade C++ running in live markets.

You will collaborate with traders and engineers, building scalable, low-latency systems and contributing to market microstructure understanding through hands-on development and testing.

Qualifications

• 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 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 (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.

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.

Skills

C++ (modern)

Market data

Unit testing

Problem solving

Team collaboration

Autonomous learning

Education

BSc/MSc in CS or Math

Tools

Git

Azure DevOps

CI/CD

GoogleTest

Catch2

Linux

Job description

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.