This successful commodities hedge fund, leverages advanced quantitative techniques to trade global markets. They’re seeking a PhD Quantitative Researcher with up to 2 years of experience in machine learning or LSTM to join the team. This role is ideal for a technically strong candidate who can bridge theory and practice, pitch alpha-generating ideas to senior traders, and contribute to the cutting-edge research efforts.
Responsibilities
Design and implement machine learning models, including LSTM-based approaches, to develop predictive trading strategies for commodities markets.
Conduct rigorous research to identify alpha opportunities, using advanced statistical and ML techniques to analyze market data.
Build, back-test, and deploy trading algorithms, ensuring they are robust and scalable for live trading.
Develop tools and simulations to support research, including exchange simulators and data pipelines.
Communicate complex ideas effectively, pitching alpha-generating strategies to senior traders and portfolio managers in a clear, compelling manner.
Collaborate with quants, traders, and engineers to integrate models into production systems.
Technical Skills and Experience
PhD in a quantitative field (e.g., Machine Learning, Computer Science, Mathematics, Physics, or related). Up to 2 years of experience in machine learning or LSTM, ideally applied to financial markets or time-series data.
Strong theoretical understanding of machine learning, with expertise in LSTM, neural networks, and statistical modelling.
Advanced programming skills in C# or Python, with experience in developing production-ready code.
Proven ability to communicate complex ideas clearly and pitch alpha-generating strategies to senior stakeholders.
A passion for financial markets and a collaborative mindset to thrive in a team-oriented environment.
What’s on Offer
Competitive salary (£80,000 - £120,000 annually, based on experience) with performance-based bonuses.
Comprehensive benefits, including health, dental, and pension contributions.
A dynamic, research-driven culture where your ideas shape trading strategies.
Access to state-of-the-art technology and datasets to fuel your ML research.
Mentorship and growth opportunities in a leading systematic trading firm.
Talk to us
Director
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