Senior Python Engineer

The role

We are looking for Senior Python Engineers to join various teams within our technology organization and work on a wide range of challenges, including systematic trading, quantitative research, a pre-trade scaling platform, and algorithms.

role responsibility

- Design and maintain scalable back-end systems and APIs that support quantitative research and trading infrastructure - Drive distributed computing applications, optimize performance, and implement monitoring and observability tools to ensure system reliability - Build high-performance data pipelines for processing large financial datasets using technologies such as Hadoop, Spark, SQL on RDD, and databases - Collaborating with engineers, researchers, and platform teams to translate complex requirements into technical solutions that integrate with the Man Group technology stack - Participating in production support rotations and contributing to architectural decisions, code reviews, and delivery through to acceptance - Collaborating with data engineers through to the deployment of machine learning models - Writing high-quality code and promoting its adoption within the team

Requirements

- At least 5 years of professional experience in software development using an object-oriented language; experience with Python is preferred, but candidates with experience in other object-oriented languages who are willing to learn Python will also be considered - Strong scientific background, e.g., experience with mathematical and computer science-related subjects, such as computer science, mathematics, engineering, or natural sciences - Experience developing mission-critical production systems with knowledge of best practices for testing, monitoring, and deployment - Familiarity with Linux platforms and an understanding of Git - Strong knowledge of software design principles and best practices, such as M5S, PostgreSQL, or MongoDB - Knowledge of at least one data storage technology, e.g., MSSQL, PostgreSQL, or MongoDB - Demonstrable experience working with large volumes of data, both structured and unstructured - Ability to quickly learn new technologies - Proven engineering mindset - Willingness and ability to work effectively with AI-powered development tools in daily workflows

Advantages

- In-depth understanding of the Python scientific stack (Pandas, NumPy, SciPy, NLTK-Learn) - Familiarity with distributed systems and infrastructure - Knowledge of modern data engineering practices, including data pipelines, ETL tools, and distributed storage solutions - Contributions to open-source projects - Experience with large language models (LLM) - Experience mentoring junior team members and managing projects

What do we offer?

- Work on challenging problems at the cutting edge of technology and finance - Collaborate with experienced engineers, researchers, and investment experts - Gain access to the company’s culture of investing in art and technology - 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 facilities on the Old Broadwick Campus with easy access to public transportation and amenities - Relocation assistance - Competitive compensation package - 25 days of paid vacation - Personal health insurance policy - Employee support