I am working with an established pod at a $15 Bn+ hedge fund in London who are looking for a mid-frequency Quantitative Researcher to work on the research, development and execution of their futures strategies.
The PM has been in his seat for 2 years, with the pod running for 5+ years. You would be working on fully systematic alpha 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.
