Quantitative Researcher

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.