Quantitative Researcher

Quantitative Researcher - Must be willing to relocate to the Bahamas*

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Bahamas | Proprietary Trading | Python / C++ | Machine Learning | Systematic Trading

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As a Quantitative Researcher, you'll be responsible for researching, developing and

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implementing systematic trading strategies across global financial markets. You'll work

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alongside experienced researchers, software engineers and traders, leveraging large datasets,

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statistical modelling and machine learning techniques to identify new sources of alpha.

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This is a highly collaborative environment where ideas are tested rigorously and successful

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research moves quickly into production.

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Responsibilities

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• Research and develop systematic trading strategies across global markets.

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• Analyse large financial and alternative datasets to identify predictive signals.

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• Build statistical and machine learning models.

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• Design and evaluate alpha generation ideas using robust backtesting frameworks.

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• Collaborate with software engineers to deploy research into production.

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• Continuously monitor and refine live trading models.

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• Explore new data sources and innovative research methodologies.

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What We're Looking For

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• PhD - Strong academic background in Mathematics, Physics, Computer Science, Statistics,

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Engineering or a related quantitative discipline.

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• Commercial experience in quantitative research within systematic trading, proprietary

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trading, hedge funds or investment banking.

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• Excellent programming skills in Python, with experience in C++ being highly

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desirable.

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• Strong understanding of probability, statistics, optimisation and machine learning.

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• Experience working with large datasets and developing predictive models.• Excellent problem-solving skills with a scientific and analytical approach.

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Desirable Experience

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• Systematic futures, equities or FX trading.

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• Alpha signal research.

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• Time-series analysis.

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• Feature engineering.

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• Reinforcement learning or advanced machine learning techniques.

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• High-performance computing or distributed computing.

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• Linux environments.

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Benefits

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• Housing Benefit

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• Access to company vehicles

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• Lunch provided by onsite chef

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• Use of facilities (Marina, watercraft's, cinema, gym, entertainment to name a few)

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