At a Glance
- Tasks: Research and develop trading strategies using Python and machine learning in a collaborative environment.
- Company: Join a leading proprietary trading firm in the beautiful Bahamas.
- Benefits: Enjoy housing benefits, company vehicles, and gourmet lunches from an onsite chef.
- Other info: Experience excellent career growth and access to amazing facilities like a gym and cinema.
- Why this job: Make a real impact in global financial markets while living in paradise.
- Qualifications: PhD in a quantitative field and strong programming skills in Python.
The predicted salary is between 63000 - 77000 £ per year.
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
- Ph D - 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)
Quantitative Researcher employer: Bourne Search Ltd
Bourne Search Ltd. is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to shape the future of trading technology. With a strong focus on professional development, you will have ample opportunities to grow your skills while collaborating with industry leaders in a supportive culture that values creativity and teamwork. Located in a vibrant area, the company provides unique advantages such as flexible working arrangements and a commitment to work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
