Quantitative Developer

Paragon Alpha - Hedge Fund Talent Business; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Paragon Alpha – Hedge Fund Talent Business is seeking an experienced Quantitative Developer to join a team working directly with Quant Researchers and Portfolio Managers. Embedded role bridging research, systematic trading and software engineering.

You’ll help build and evolve the research-to-production framework, improve workflows, and raise engineering standards. There will be exposure to ML-driven research and infrastructure to support development, testing and deployment of systematic

Qualifications

• 5+ years' experience as a Quantitative Developer, Quant Technologist or similar.
• Experience working directly with Quantitative Researchers within systematic trading.
• Good understanding of quantitative strategies and the underlying investment logic.
• Experience taking research code and strategies into robust production environments.
• Exposure to ML pipelines and production machine learning.
• Strong software engineering practices across testing, architecture and code quality.

Responsibilities

• Build and evolve the firm's quantitative trading and research framework, working closely with researchers to take strategies from research through to production.
• Improve research workflows, productionise trading strategies, building tools and infrastructure across the strategy lifecycle.
• Raise engineering standards across the research environment.
• Contribute to projects involving machine learning and AI-driven research infrastructure.

Skills

Quantitative Development

Research collaboration

Quantitative strategies

ML pipelines

Software engineering

Job description

Quantitative Developer – Systematic Trading

We are working with a leading quantitative investment manager looking to hire an experienced Quantitative Developer to join a team working directly alongside Quantitative Researchers and Portfolio Managers.

This is an embedded role within the research environment, sitting at the intersection of quantitative research, systematic trading and software engineering. You’ll have exposure to the investment process while taking ownership of the technology that allows researchers to develop, test and deploy systematic strategies.

The Role

You will help build and evolve the firm's quantitative trading and research framework, working closely with researchers to take strategies from research through to production.

This will include improving research workflows, productionising trading strategies, building tools and infrastructure across the strategy lifecycle, and raising engineering standards across the research environment.

The team is also increasingly working with machine learning and AI-driven research, providing the opportunity to build infrastructure and tooling supporting these initiatives.

What We're Looking For

• 5+ years' experience as a Quantitative Developer, Quant Technologist or similar
• Experience working directly with Quantitative Researchers within systematic trading
• Good understanding of quantitative strategies and the underlying investment logic
• Experience taking research code and strategies into robust production environments
• Exposure to ML pipelines and production machine learning
• Strong software engineering practices across testing, architecture and code quality