
Quantitative Researcher
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Global"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€2,290–€14,470). The listed pay band (€408–€671) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 403 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Remote - Global | €2,290/per month | €6,474/per month | €14,470/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €408/per month | €539/per month | €671/per month |
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.
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