Senior Python Engineer

Man Group

HybridPosted July 28, 2026

About the role

Man Group, a global alternative investment management firm, is seeking Senior Python Engineers to join multiple teams within its technology organization, working on a range of challenges from systematic trading and quantitative research to a petabyte-scale data platform and AI solutions. The role offers the opportunity to collaborate with highly skilled engineers and to deepen technical and financial services knowledge while using cutting-edge technologies that power critical areas of the firm’s business.

Senior Python Engineer

Man Group

HybridPosted July 28, 2026

About the role

Man Group, a global alternative investment management firm, is seeking Senior Python Engineers to join multiple teams within its technology organization, working on a range of challenges from systematic trading and quantitative research to a petabyte-scale data platform and AI solutions. The role offers the opportunity to collaborate with highly skilled engineers and to deepen technical and financial services knowledge while using cutting-edge technologies that power critical areas of the firm’s business.

Role responsibilities: - Design and maintain scalable backend systems and APIs that support quantitative research and trading infrastructure. - Develop distributed compute applications, optimize performance, and implement monitoring and observability tooling to ensure system reliability. - Build high-performance data pipelines for processing large-scale financial datasets using time series data, SQL, and NoSQL databases. - Partner with engineers, researchers, and platform teams to translate complex requirements into technical solutions that integrate with the firm’s technology estate. - Participate in production support rotations and contribute to architecture decisions, code reviews, and engineering best practices across the team. - Leverage AI development tools to accelerate delivery and drive their adoption across the team.

Technology: You will work in a modern Linux-based infrastructure where Python is the primary development language, using the full scientific stack including pandas, numpy, scipy, and scikit-learn. A key component of the data infrastructure is Arcti

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Role responsibilities: - Design and maintain scalable backend systems and APIs that support quantitative research and trading infrastructure. - Develop distributed compute applications, optimize performance, and implement monitoring and observability tooling to ensure system reliability. - Build high-performance data pipelines for processing large-scale financial datasets using time series data, SQL, and NoSQL databases. - Partner with engineers, researchers, and platform teams to translate complex requirements into technical solutions that integrate with the firm’s technology estate. - Participate in production support rotations and contribute to architecture decisions, code reviews, and engineering best practices across the team. - Leverage AI development tools to accelerate delivery and drive their adoption across the team.