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Quantitative Researcher

2 months ago

London, Greater London, United Kingdom Oxford Knight Full time
About Oxford Knight

Oxford Knight is a leading systematic hedge fund that invests across a variety of financial markets.

Job Summary

We are seeking a creative problem-solver to join our low latency machine learning trading team as a Quantitative Researcher.

Key Responsibilities
  • Research and implement fully automated systematic futures signals and strategies for the short to medium term.
  • Develop and maintain low latency trading models in the liquid futures space.
  • Collaborate with the team to design and implement new trading strategies.
  • Conduct research and analysis to identify opportunities for improvement in our trading models.
Requirements
  • 3+ years of comparable research experience in low latency futures signals and strategies.
  • Advanced degree (MS/PhD) in Statistics, ML, Physics, Maths, Engineering or other quant field from a top-tier institution.
  • Strong programming skills in high-level (e.g. Python, R, Julia) and lower-level (e.g. C, C++) languages, with fluency in at least one.
  • Excellent understanding of probabilities, statistics and optimization.
  • Experience manipulating large datasets, including tick-level data.
What We Offer
  • Competitive base salaries and performance-based bonuses.
  • A collaborative culture where ideas are implemented and valued.
  • The opportunity to work with passionate, forward-thinking, and incredibly smart people.