I am working with an established pod at a $15 Bn+ hedge fund inLondonwho are looking for a mid-frequency Quantitative Researcher to work on the research, development and execution of theirfutures strategies.

The PM has been in his seat for 2 years, with the pod running for 5+ years. You would be working on fully systematicalpha strategies within futures, with holding period of intraday up to a week. This can be across all liquid asset classes e.g. FX futures, Rates futures, Commodities futures, Fixed Income futures.

Key Responsibilities:

• Alpha Strategy Development:Design, test, and implement quantitative alpha strategies focusing on futures markets, using advanced statistical and machine learning techniques.
• Data Analysis:Leverage large datasets (historical price data, macroeconomic indicators, sentiment data, etc.) to identify patterns, correlations, and predictive signals that can be incorporated into models.
• Modeling & Backtesting:Develop quantitative models and utilise backtesting frameworks to assess the effectiveness and robustness of strategies under various market conditions.
• Research & Innovation:Stay up to date with the latest developments in financial markets, quantitative research techniques, and algorithmic trading to continuously innovate and improve alpha generation capabilities.
• Collaboration:Work closely with the PM to ensure smooth implementation of models and strategies, providing insights and analysis to optimize trading decisions.
• Performance Evaluation:Continuously monitor and evaluate the performance of live strategies, optimizing parameters and making necessary adjustments to improve performance.

Qualifications:

• Education:Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Engineering, Computer Science, Finance, or Statistics.
• Experience:
  • At least 2-6 years of experience in quantitative research, with a focus on alpha strategy development and futures markets.
  • Experience with futures products (e.g., equity index futures, commodity futures, fixed-income futures) and related market structures.
  • Proficiency in statistical and machine learning techniques such as regression analysis, time series modeling, Monte Carlo simulations, and optimization.
  • Strong coding skills in Python and similar programming languages; experience with backtesting platforms (e.g., QuantConnect, Backtrader, etc.) is a plus.
• Skills:
  • Strong quantitative and analytical skills, with the ability to extract insights from complex datasets.
  • Proficiency in data manipulation, statistical analysis, and visualization tools (e.g., Pandas, NumPy, SciPy, Matplotlib).
  • Strong understanding of financial markets, trading mechanics, and futures contracts.
  • Excellent problem-solving and critical thinking abilities.
  • Effective communication skills, with the ability to present research findings and strategies clearly to non-technical stakeholders.