Senior Python Engineer

Purpose of the role

We are seeking senior Python engineers to join various teams in our technology expansion, where algorithms for systematic trading, quantitative research, a multi-tier data platform, and AI and digital solutions are being developed.

Key aspects of the role

- Design and maintenance of scalable back-end systems and APIs that support quantitative research and trading infrastructure - Design, develop, and deploy compute applications, optimize performance, and implement monitoring and observability tooling to ensure system reliability - Develop performance attribution models, data pipelines, and platforms to translate large financial datasets using time series, SQL, and NoSQL databases - Partner with teams within Man Group to translate complex requirements into technical solutions that integrate with Man Group's technology infrastructure - Participate in production support rotations and contribute to infrastructure decisions, code reviews, and technical leadership of projects assigned to the team - Enthusiasm for using AI development tools to accelerate delivery and drive their adoption across the team

Requirements

- At least 5+ years of professional experience in software development in an object-oriented language (Python experience is preferred, but we are also open to candidates who are trained in other object-oriented languages and are willing to learn Python) - Strong numerical skills, solid knowledge of mathematical and computer science content, e.g., computer science, mathematics, engineering, or natural sciences - Experience in building and maintaining control systems, with knowledge of best practices for testing, monitoring, and deployment - Previous experience with CI/CD - Solid knowledge of one or more storage technologies, e.g., MS SQL, Postgres, or MongoDB - Proven experience working with large data sets, both structured and unstructured - Ability to work independently and with other team members/stakeholders - Familiarity with scientific techniques, willingness and ability to work effectively with AI-powered development tools in daily workflow

Nice to Have

- Deep understanding of the Python scientific stack (pandas, numpy, scipy, scikit-learn) - Familiarity with distributed systems and orchestration - Experience with machine learning algorithms, including data pipeline and ETL, bots, distributed memory processing, and data warehousing - Contributions to open source projects - Experience working with legal and compliance systems (LOC) - Experience mentoring junior team members and project management

We offer

- Work on challenging problems at the forefront of technology and finance - Collaborate with world-class engineers, researchers, and investment experts - On-the-job training to develop and succeed within the company - Small, agile teams with a high degree of autonomy - Opportunity to have a real impact on investment strategies involving billions in assets

Benefits

- Modern office on the Aldgate campus with free parking, easy transport access, and on-site amenities - Attractive bonus system - Generous parental leave - Continuous investment in professional development, including internal