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Quantitative Researcher

Anson McCadeDubaiUnited Arab EmiratesPosted 18 Oct 2026

Why this role stands out

This role offers you the chance to own your trading models from conception to live execution within a globally recognized quantitative trading firm, with a highly competitive compensation package. You will thrive here if you have a strong quantitative background and experience developing mean reversion models in equities or futures, eager to collaborate with a talented team. Apply now to join their dynamic trading environment in Dubai and drive innovation.

Quick overview

Salary$200k/yr
SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationDubai, United Arab Emirates
Posted1 week ago
Python

Job description

$200,000 USD
Highly competitive bonus structure
Onsite WORKING
Location: Dubai, Dubai - United Arab Emirates Type: Permanent
Quantitative Researcher/Trader - Hong Kong/ Singapore/ Dubai
Our client is a renowned quantitative trading firm operating in HFT/market making, intraday and mid-frequency trading across liquid markets. The firm has offices globally, and is looking for Quantitative Researchers/Traders to join one of their teams in Hong Kong, Singapore, or Dubai.
This is an excellent opportunity for Quantitative Researchers with three or more years of experience trading mean reversion models in Equities or Futures markets to leverage the firm's in-house resources/infrastructure and take ownership of their own models from signal generation to management in live trading. Successful candidates will work closely with other Quants to research, implement and monitor trading strategies.
The Role:
  • Supporting the buildout of a team, or joining a larger existing group as a Quant Researcher/Trader.
  • Involvement in all aspects of the strategy development process, from analysing datasets to identify patterns and opportunities to developing, backtesting, implementing and monitoring systematic strategies.
  • Working collaboratively with other quants to discuss research, improve and implement strategies, and develop tools and libraries.
Requirements:
  • The ideal candidate will have a Master's in a STEM field of study, such as Mathematics, Physics, Computer Science, or Engineering, and at least 3 years of relevant experience within a Quantitative Researcher or Trader position.
  • Coding proficiency in Python is strongly preferred.
  • Quantitative, analytical, and research skills from academic and professional experience, and ideally a demonstrated ability to leverage these methods in a profitable way.

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