KDB / Python Lead Quant Developer – Systematic Equities | London / Dubai

Oxford Knight; Dubai; On-site; USD 80,000 - 120,000; Full time

Job summary

A leading hedge fund seeks a Quant Developer to join their entrepreneurial high-frequency systematic equities team in Dubai. This impactful role involves developing trading systems and collaborating with senior portfolio managers. Ideal candidates should have strong analytical skills and extensive programming experience in KDB/Q and Python, alongside a relevant degree.

Benefits

Dynamic, fast-paced environment

Excellent career growth opportunities

Collaborative culture

Knowledge-sharing environment

Qualifications

• 3-5+ years’ experience in developing algorithmic trading systems.
• Substantial KDB/Q and Python programming experience.
• Good knowledge of modern data science tools stacks with ML experience.

Responsibilities

• Collaborate with the senior PM and the team for implementing backtester tools.
• Design and implement trading systems ensuring reliability and scalability.
• Mentor junior developers by sharing knowledge and best practices.

Skills

Algorithmic trading systems

KDB / Q

Python

Data science tools

Machine Learning

Education

Bachelors or Masters in Computer Science, Mathematics, Statistics, or related STEM field

Tools

Jupyter

pandas

numpy

sklearn

Slurm

Job description

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

Benefits & Incentives :

• 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

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.