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Quantitative Researcher

at Durlston Partners

Back to all Data Science / AI / ML jobs
Durlston Partners logo
Recruitment Agencies

Quantitative Researcher

at Durlston Partners

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

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

Work with top-tier systematic trading firms to research, design, and test quantitative trading strategies. Analyse large, noisy datasets to identify predictive signals and build/refine models using statistical, econometric or machine learning techniques. Collaborate with engineers and traders to deploy and monitor live strategies across APAC, US, Europe, and UAE (remote options available).

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

Quantitative Researcher

at Durlston Partners

Back to all Data Science / AI / ML jobs
Durlston Partners logo
Recruitment Agencies

Quantitative Researcher

at Durlston Partners

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

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

Work with top-tier systematic trading firms to research, design, and test quantitative trading strategies. Analyse large, noisy datasets to identify predictive signals and build/refine models using statistical, econometric or machine learning techniques. Collaborate with engineers and traders to deploy and monitor live strategies across APAC, US, Europe, and UAE (remote options available).

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