KDB / Python Quant Developer - Systematic Equities | London/Dubai

2 weeks ago


Dubai, Dubai, United Arab Emirates Oxford Knight Full time
Job Summary

Oxford Knight is seeking a highly skilled Quant Developer to join our Systematic Equities team. As a founding member, you will be responsible for developing systematic backtesting, visualization, and trading platforms for global equity strategies.

In this role, you will collaborate with senior PMs and the team to implement an efficient backtester tool for simulation and live trading. You will also design and implement trading systems, ensuring reliability, scalability, and timely execution. Additionally, you will share knowledge and promote best practices in mentorship to junior developers.

The ideal candidate will have 3-5+ years of experience in developing algorithmic trading systems, preferably in systematic equity trading markets. Strong programming skills in KDB/Q and Python, as well as knowledge of modern data science tools stacks, are required. A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related STEM field from a top-tier university is also necessary.

The successful Quant Developer will be a fantastic problem-solver with strong analytical skills, able to quickly understand and apply complex concepts. If you are passionate about trading and have a strong background in software development, we encourage you to apply for this exciting opportunity.

Key Responsibilities
  • Develop and maintain systematic backtesting, visualization, and trading platforms for global equity strategies
  • Collaborate with senior PMs and the team to implement backtester tools and trading systems
  • Design and implement trading systems, ensuring reliability, scalability, and timely execution
  • Share knowledge and promote best practices in mentorship to junior developers
  • Stay up-to-date with industry trends and advancements in trading technology

Requirements
  • 3-5+ years of experience in developing algorithmic trading systems, preferably in systematic equity trading markets
  • Strong programming skills in KDB/Q and Python
  • Knowledge of modern data science tools stacks, e.g. Jupyter, pandas, numpy, sklearn, with ML experience
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related STEM field from a top-tier university
  • Excellent problem-solving and analytical skills, with the ability to quickly understand and apply complex concepts

Benefits
  • Significant salary + bonus + benefits
  • Dynamic, fast-paced environment; excellent career growth opportunities
  • Collaborative culture and an energetic, dynamic engineering atmosphere
  • Build and share knowledge with the smartest engineers in the industry

Contact
If you are interested in this opportunity, please contact Dominic Copsey at dominic.copsey@oxfordknight.co.uk.

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