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

at  Oxford Knight

SUMMARY:

One of the world’s most prestigious hedge funds is looking for a Quant Developer to be a founding member of one of their high-frequency systematic equities pods. This is a high impact role, within a small, entrepreneurial team, where you will develop systematic backtesting, visualization/analyzing and a trading platform for global equity strategies.
To do this, you’ll collaborate with the senior PM and the team, implementing an efficient backtester tool for both simulation and live trading. You’ll also design and implement trading systems, ensuring reliability, scalability, and timely execution, as well as sharing knowledge and promoting best practices in mentorship to junior developers.
The successful Quant Developer will be a fantastic problem-solver with strong analytical skills, with the ability to quickly understand and apply complex concepts.

SKILLS AND EXPERIENCE REQUIRED:

• 3-5+ years’ experience in developing algorithmic trading systems, preferably in systematic equity trading markets
• Substantial KDB/Q and Python programming experience
• Good knowledge of modern data science tools stacks, e.g. Jupyter, pandas, numpy, sklearn, with ML experience
• Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or related STEM field from a top-tier university
• Good understanding of using Slurm or similar parallel computing tools

Please refer the Job description for details