Salary: £150-350k TC

Summary

Superb opportunity to join one of the world's most prestigious hedge funds as a Quant Developer within Systematic Equities. This is a high impact role, within a small, entrepreneurial investment team, where you will be building critical trading infrastructure in a highly collaborative environment.

Working directly with the senior PM and quant researchers, your primary focus will be designing, coding, and maintaining tools for the systematic trading infrastructure. You'll develop data engineering and prediction tools for the systematic trading of equities, implement technology to enable large-scale computational efforts in quant research, and build and maintain robust data pipelines and databases.

To succeed in this role, you will have exceptional communication skills, comfortable facing off to the business, with a real drive for collaborative success.

Skills and Experience Required

• 5+ years' experience with a strong computer science or engineering background
• Expert-level C++ programming experience, plus advanced Python
• Track record in Linux-based development
• Experience with DevOps functions (e.g. Google Cloud, Airflow, InfluxDB, Grafana)
• Degree (Masters or PhD preferred) in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field, from a top-tier university

Desirable

• Knowledge of machine learning and statistical techniques and related libraries
• Experience as a quantitative developer supporting an intraday (or faster) system
• Experience with the development practices of large tech (Google/Meta, etc.) or finance firms

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.

Contact
If you think you are a good fit for the role and would like further information, please contact:

Dominic Copsey

+44 (0)
in/dom-copsey-586478143/