Quantitative Researcher - Must be willing to relocate to the Bahamas*
Bahamas | Proprietary Trading | Python / C++ | Machine Learning | Systematic Trading
As a Quantitative Researcher, you'll be responsible for researching, developing and
implementing systematic trading strategies across global financial markets. You'll work
alongside experienced researchers, software engineers and traders, leveraging large datasets,
statistical modelling and machine learning techniques to identify new sources of alpha.
This is a highly collaborative environment where ideas are tested rigorously and successful
research moves quickly into production.
Responsibilities
• Research and develop systematic trading strategies across global markets.
• Analyse large financial and alternative datasets to identify predictive signals.
• Build statistical and machine learning models.
• Design and evaluate alpha generation ideas using robust backtesting frameworks.
• Collaborate with software engineers to deploy research into production.
• Continuously monitor and refine live trading models.
• Explore new data sources and innovative research methodologies.
What We're Looking For
• PhD - Strong academic background in Mathematics, Physics, Computer Science, Statistics,
Engineering or a related quantitative discipline.
• Commercial experience in quantitative research within systematic trading, proprietary
trading, hedge funds or investment banking.
• Excellent programming skills in Python, with experience in C++ being highly
desirable.
• Strong understanding of probability, statistics, optimisation and machine learning.
• Experience working with large datasets and developing predictive models.• Excellent problem-solving skills with a scientific and analytical approach.
Desirable Experience
• Systematic futures, equities or FX trading.
• Alpha signal research.
• Time-series analysis.
• Feature engineering.
• Reinforcement learning or advanced machine learning techniques.
• High-performance computing or distributed computing.
• Linux environments.
Benefits
• Housing Benefit
• Access to company vehicles
• Lunch provided by onsite chef
• Use of facilities (Marina, watercraft's, cinema, gym, entertainment to name a few)