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About Oxford Knight
Oxford Knight is a leading systematic hedge fund that invests across a variety of financial markets. Our team of experts is dedicated to delivering exceptional results through innovative and data-driven approaches.
Job Summary
We are seeking a highly skilled Quantitative Researcher to join our machine learning systematic trading team in New York or London. As a Quantitative Researcher, you will be responsible for researching and implementing fully automated systematic futures signals with intraday to daily horizons.
Key Responsibilities
- Develop and maintain systematic trading models in the liquid futures space
- Research and implement new trading strategies using machine learning techniques
- Collaborate with the trading team to optimize and refine existing models
- Analyze large datasets to identify trends and patterns
- Design and implement efficient algorithms for data processing and analysis
Requirements
- At least 2-4 years of comparable research experience in a quantitative finance role
- Advanced degree (MS/PhD) in Statistics and/or Computational Math from a top-tier institution
- Strong programming skills in Python and R, with the ability to write efficient code
- Excellent understanding of probabilities, statistics, and optimization
- Experience manipulating large datasets
What We Offer
- Competitive base salaries and performance-based bonuses
- A collaborative and dynamic work environment
- The opportunity to work with a talented team of professionals