Senior Python Engineer

The Role

We’re seeking Senior Python Engineers to join various teams across our technology organisation, working on diverse challenges spanning systematic trading, quantitative research, a petabyte-scale data platform, and AI solutions.

The role offers the opportunity to collaborate with and learn alongside highly skilled engineers whilst developing core technical and financial services knowledge. You will work with cutting-edge technologies and systems that power critical areas of Man Group’s business.

Role Responsibilities

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

Our Technology

You’ll work in a modern, Linux-based infrastructure where Python is the primary development language, utilising the full scientific stack including pandas, numpy, scipy, and scikit-learn. A key component of our data infrastructure is ArcticDB (), our internally developed DataFrame database that you’ll use extensively. We maintain a dynamic technology landscape, continuously evaluating and adopting new tools and libraries that enhance our capabilities.

Key Competencies

Essential

• Minimum 5 years’ professional software development experience in any object-oriented language. Python experience is preferred, though we are open to candidates proficient in other object-oriented languages who are willing to learn Python.
• Strong academic record with coursework focused on mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Science
• Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment
  Proficient on Linux platforms and strong understanding of Git
• Strong knowledge of one or more relevant database technologies e.g. MS SQL, Postgres, or MongoDB
• Demonstrated experience working with large data sets, both structured and unstructured
• Ability to work independently and gather requirements from stakeholders
• Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow

Advantageous

• Deep understanding of the Python scientific stack (pandas, numpy, scipy, scikit-learn)
• Familiarity with distributed systems and orchestration
• Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing
• Contributions to open-source projects
• Experience working with Large Language Models (LLMs)
• Experience mentoring junior team members and managing projects

Why Man Group?

• Work on challenging problems at the cutting edge of technology and finance
• Collaborate with world-class engineers, researchers, and investment professionals
• Receive on-the-job training to develop and succeed at the firm
• Entrepreneurial, innovation-driven culture
• Small, agile teams with high autonomy
• Opportunity to make a real impact on investment strategies managing billions in assets

Benefits

• Modern office located in the OfficeX campus with easy access to transport and amenities.
• Hybrid working model
• Competitive compensation package
• 25 days holiday allowance
• Premium Health insurance
• Employee Assistance program
• Referral Bonus
• Additional days off for long service and volunteering
• Multisport card
• Opportunities for professional development including internal tech talks
• Conference attendance, and engagement with the open-source community