Aspect Capital is an award-winning specialist money manager at the forefront of research into financial markets. We apply systematic quantitative research techniques across a broad spectrum of financial products and markets to deliver returns to investors.

We are seeking a Python Quantitative Developer to join our team. You will work on a variety of systems, including the Machine Learning (ML) signal generation framework and the integrated investment platform. The ideal candidate will have strong coding skills and the ability to collaborate effectively with quant devs, researchers, and other teams to enhance and support trading technologies, while assisting researchers with these systems.

Responsibilities

• Support the current suite of ML-based signal generation systems.
• Assist the ML team in adopting best practices in MLOps, cloud infrastructure and model observability.
• Develop and test software improvements for production-critical investment systems.
• Collaborate with various teams to deploy changes to production.
• Provide support for systems in production.
• Assist researchers in utilising these platforms and related code for their research.

Requirements

• Strong programming skills in Python (candidates with strong skills in another language who are looking to switch to Python will also be considered).
• Minimum of 2 years of professional software development experience.
• Proven ability to engineer high-quality software following best practices.
• Proficiency with Git and version control systems.

Nice to Haves

• Previous experience in a trading firm.
• Knowledge of SQL, Docker, and Linux.
• Prior experience with deep learning frameworks such as PyTorch and TensorFlow.

If this sounds like an interesting role we would love to hear from you.

Please note we are currently unable to sponsor candidates who require a Tier2 visa