Peter Mclagan is a Staff Quant Data Engineer based in London with eight years of experience building data platforms for finance and sports betting. He has led and scaled data engineering teams while architecting AWS-native pipelines and quantitative data infrastructure that drive trading and product decisions. His background blends hands-on big data engineering, data science, and people leadership across roles at FDJ United, Kindred Group and Schroders, reflecting a rare mix of production-grade engineering and domain-specific analytics. Trained as an astrophysicist, he brings a quantitative mindset and curiosity that surface in a keen focus on signal extraction and reliability under real-time constraints. Colleagues rely on him to translate complex statistical needs into maintainable, automated data systems that meet strict regulatory and performance demands.
8 years of coding experience
6 years of employment as a software developer
Masters Astrophysics, Masters Astrophysics at University of Edinburgh
Contributions:5 commits, 4 pushes, 1 branch in 17 days
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