Python Engineer

Purpose of the role

We are seeking senior Python engineers to join our technology expansion and work on algorithmic trading, quantitative research, a cross-platform data pipeline, and other solutions in the areas of systematic trading, quantitative research, data infrastructure, and AI solutions.

role responsibility

- Design and maintenance of scalable backend systems and APIs that support quantitative research and trading infrastructure - Development of distributed computing applications, performance optimization, and implementation of monitoring and dependency tools to ensure system reliability - Building high-performance data pipelines for processing large financial data sets using time series, SQL, and NoSQL databases - Partnering with engineers, researchers, and platform teams to translate complex requirements into technical solutions that integrate with Man Group technology - Participating in production support rotations and contributing to architecture decisions, code reviews, and engineering best practices within the team

Our technology

You will work in a modern, Linux-based infrastructure where Python is the primary development language, and use the latest features such as Python 3.10, Apache Spark, and our internal key-value store component of the data infrastructure, AntichDB.

Key competencies

Essential:

• At least 5 years of professional software development experience, primarily with Python
• Strong academic background with courses in mathematics and computer science, e.g., computer science, mathematics, engineering, or natural sciences
• Experience in developing high-performance production systems with knowledge of best practices for testing, monitoring, and deployment
• Professional on Linux platforms and strong understanding of Git
• Strong knowledge of one or more relevant database technologies, e.g., MySQL, Postgres, or MongoDB
• Proven experience working with large amounts of data, both structured and unstructured
• Ability to work independently and gather stakeholder requirements

Nice to have:

• 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 and ETL tools, distributed storage for processing, and data warehousing
• Contributions to open source projects
• Experience working with large language models (LLMs)
• Experience in mentoring junior team members and project management

Why Man Group?

- Work on challenging problems at the forefront of technology and finance - Collaborate with world-class engineers, researchers, and investment professionals - Receive on-the-job training to develop and succeed within the company - A corporate culture driven by entrepreneurship and innovation - Small, agile teams with a high degree of autonomy - The opportunity to have a real impact on investment strategies with billions in assets

Benefits

- Modern office on the OldBroadwick campus with free parking and easy access to public transportation