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Quant Developer

Gravitas Recruitment Group Hong Kong

United Arab Emirates

On-site

AED 257,000 - 441,000

Full time

Today
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Job summary

A recruitment agency in the UAE is seeking Quant Developers to join a market-making team. This role involves developing and maintaining trading models, collaborating closely with quantitative analysts. Candidates should possess a strong programming background in languages such as Rust, Python, and C++. A relevant degree and an understanding of quantitative finance are required. The position offers the opportunity to work in a fast-paced environment while building new markets from scratch.

Qualifications

  • Proficient in modern programming techniques with strong skills in Rust, Python, and C++.
  • Solid understanding of data structures, algorithms, and software design principles.
  • Ability to write clean, efficient, and maintainable code.

Responsibilities

  • Develop and maintain algorithmic trading strategies and quantitative models.
  • Implement efficient, low-latency code to execute strategies.
  • Collaborate with quantitative analysts to translate research into production-level code.
  • Work with large datasets to extract meaningful insights and improve model performance.
  • Optimise existing systems for scalability and performance.
  • Provide support and troubleshooting for trading applications.

Skills

Programming in Rust
Programming in Python
Programming in C++
Numerical computing
Statistical analysis
Version control (Git)
Problem solving

Education

Bachelor's or Master's degree in relevant field

Tools

Linux
Job description

A ten man Market Making team are looking to hire 20, motivated and passionate people who are wanting to make a difference by building out new markets completely from scratch. They are looking for Quant Developers to come in and work closely with quantitative analysts and traders to develop and maintain cutting-edge trading models, analytical tools, system optimization and much more. You will be responsible for the implementation, optimization, and support of quantitative models and algorithmic trading systems across a variety of asset classes.

This role requires proficiency in modern programming techniques, a deep understanding of quantitative finance, and the ability to operate in a fast‑paced and high‑pressure environment. You will collaborate with key stakeholders in the front office, technology, and risk management teams to deliver robust, high‑performance systems that meet the firm’s strategic objectives.

Key Responsibilities
  • Develop and maintain algorithmic trading strategies and quantitative models.
  • Implement efficient, low‑latency code to execute strategies.
  • Collaborate with quantitative analysts to translate research into production‑level code.
  • Work with large datasets to extract meaningful insights and improve model performance.
  • Optimise existing systems for scalability and performance.
  • Provide support and troubleshooting for trading applications.
  • Contribute to the development of internal libraries and toolsets.
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics or a related quantitative discipline.
  • Strong programming skills in Rust, Python or C++. (Rust is not necessary for the role but a willingness to learn is).
  • Solid understanding of data structures, algorithms, and software design principles.
  • Experience with numerical computing and statistical analysis libraries.
  • Familiarity with market data, financial instruments, and trading systems.
  • Ability to write clean, efficient, and maintainable code.
  • Comfortable working in a Linux environment with version control tools such as Git.
  • Strong communication and interpersonal skills with an ability to work independently and as part of a team.
  • Proactive attitude with a strong attention to detail and excellent problem‑solving skills.
Preferred Qualifications
  • Experience working in a trading firm, hedge fund, or investment bank.
  • Understanding of time series analysis and machine learning techniques.
  • Knowledge of execution algorithms and order routing logic.
  • Experience with high‑performance, low‑latency programming.
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