
Posted 17 days ago
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Durlston Partners is recruiting Quantitative Researchers for top-tier systematic trading firms across APAC, the US, Europe, London, and the UAE (remote options available). You will research, design and test systematic trading strategies, analyse large noisy datasets to identify predictive signals, and build/refine models using statistical, ML, or econometric techniques. The role requires collaboration with engineers and traders to bring strategies from idea to production and to deploy and monitor live strategies. Candidates should have a strong quantitative background and proficiency in Python, R (or similar), with experience in statistical modeling, time-series analysis, or machine learning.
- Compensation
- Not specified
- City
- London
- Country
- United States, United Kingdom, United Arab Emirates
Currency: Not specified
Full Job Description
Quantitative Researcher – APAC, US, Europe, London, UAE, Remote
Durlston Partners is working with several top-tier Systematic Trading firms that are looking for Quant Researchers, where you’ll develop statistical models, uncover market inefficiencies, and work closely with engineers and traders to bring strategies from idea to production.
What You’ll Do:
- Research, design, and test systematic trading strategies
- Analyse large, noisy datasets to identify predictive signals
- Build and refine models using statistical, ML, or econometric techniques
- Collaborate with engineering to deploy and monitor live strategies
What They’re Looking For:
- Strong quantitative background (math, physics, CS, statistics)
- Proficiency in Python, R, or similar research languages
- Experience with statistical modeling, time-series analysis, or machine learning
- Curiosity, rigor, and a passion for data-driven decision-making
Perks:
- Highly competitive pay and bonuses
- Cutting-edge tech and challenging problems
- Strong project ownership
- Great benefits package
How to Apply:
- Please apply to the advert to register your interest. Alternatively, please feel free to reach out to me for a confidential discussion: david@durlstonpartners.com






