Quantitative Researcher

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

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