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Quantitative researcher

Thyme
Quantitative researcher
Posted: 4 December
Offer description

Quantitative Researcher – Mid-Frequency StrategiesLocation:Dublin, Ireland (Hybrid or Remote within the EU)Salary:€100K - €150K OTEAboutWe're working with a global FinTech organisation building a research-first trading team on the lookout for a Quant Reseacher.We're looking for a Quantitative Researcher with a strong statistical foundation and hands-on experience developing mid-frequency trading strategies (holding periods from minutes to overnight).This role is perfect for someone who thrives at the early stages of strategy development — cleaning data, testing hypotheses, modeling predictive signals, and collaborating with engineers to bring ideas into production. You'll work in a lean, high-impact team where your research directly influences trading performance and capital allocation.Key ResponsibilitiesResearch, design, and validate short- to mid-frequency alpha strategies in global futures and equities.Work with large-scale market, fundamental, and alternative datasets to identify and test signals.Build and evaluate forecasting models with strong statistical rigor and robust out-of-sample testing.Collaborate with engineers to transition prototypes into production systems.Monitor live strategy performance, identify signal decay, and iterate to enhance robustness.Stay up to date on market structure, liquidity conditions, and quantitative modeling techniques.Key Skills3+ years' experience in quantitative research, ideally within systematic or mid-frequency trading.Strong background in statistics, machine learning, and time-series modeling (PhD a plus).Hands-on experience in futures and/or equities markets.Proficiency in Python; familiarity with C++ or Rust is advantageous.Deep understanding of research workflows — including walk-forward testing, validation, and overfitting avoidance.Comfortable working with large datasets and conducting exploratory data analysis.Bonus: Experience taking a strategy from research to live trading, or knowledge of execution modeling, slippage estimation, and transaction cost analysis.Get in touch Apply below - Interviews happening this week

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