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Job Details

Durlston Partners logo
Recruitment Agencies

Quantitative Researcher

at Durlston Partners

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

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

Currency: Not specified

City
London
Country
United States, United Kingdom, United Arab Emirates

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

Job Details

Durlston Partners logo
Recruitment Agencies

17 days ago

clicks

Quantitative Researcher

at Durlston Partners

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: London

Country: United States, United Kingdom, United Arab Emirates

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.

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