Thyme
Quantitative Researcher
ThymeIreland20 hours ago
Full-timeRemote FriendlyEngineering, Information Technology +1

Quantitative Researcher – Mid-Frequency Strategies

Location: Dublin, Ireland (Hybrid or Remote within the EU)

Salary: €100K - €150K OTE


About

We’re working with a global FinTech organisation building a research-first trading team on the lookout for a Quant Researcher.

We’re looking for a Quantitative Researcher with a strong statistical foundation and hands-on experience developing trading strategies. 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. A part of a high-impact team where your research directly influences trading performance and capital allocation.


Key Responsibilities

  • Research, 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 Skills

  • 3+ 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!

Key Skills

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