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Quantitative Researcher

Radley James
Boston, MA Full Time
POSTED ON 2/27/2025
AVAILABLE BEFORE 5/23/2025

Mid / Low Frequency Quantitative Researcher – Systematic Trading

We are seeking a highly skilled Quantitative Researcher to join a systematic trading team, focusing on mid- and low-frequency strategies across global markets. The ideal candidate will have a strong background in statistical modeling, signal generation, and portfolio optimization, with a hands-on approach to research and implementation.

Responsibilities :

  • Conduct research on alpha signals, market inefficiencies, and risk premia across equities, futures, and other asset classes.
  • Develop and implement mid- and low-frequency trading strategies, balancing predictive power and execution costs.
  • Work closely with portfolio managers and developers to integrate strategies into the trading pipeline.
  • Utilize statistical and machine learning techniques to refine signal generation and risk management.
  • Backtest and validate strategies using large-scale historical and real-time data.
  • Optimize portfolio construction techniques to enhance risk-adjusted returns.

Requirements :

  • Advanced degree (MSc / PhD) in a quantitative field such as Mathematics, Statistics, Computer Science, or Financial Engineering.
  • 1 years of experience in systematic trading, ideally focusing on mid / low-frequency strategies.
  • Strong programming skills in Python and / or C , with experience working in a research-driven environment.
  • Deep understanding of statistical analysis, econometrics, and machine learning applied to financial markets.
  • Hands-on experience with large-scale financial data, time-series modeling, and predictive analytics.
  • Knowledge of market microstructure and execution strategies is a plus.
  • Ability to work in a fast-paced, collaborative environment with strong attention to detail.
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