Opportunity Description
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
- Strong quantitative background (math, physics, CS, statistics)
- Proficiency in Python, R, or similar research languages
- Experience with statistical modelling, time‑series analysis or machine learning
- Curiosity, rigor, and a passion for data‑driven decision‑making
- Highly competitive pay and bonuses
- Cutting‑edge tech and challenging problems
- Strong project ownership
- Great benefits package
Ready to Apply?
Submit your application for Quantitative Researcher at Client of Durlston Partners
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