Associate Software Engineer at Man Group in Boston, MA

Summary: Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients. They are seeking a high-performing associate software engineer to join their engineering team, which supports the central data platform, Codex, that empowers users to become data engineers and involves projects across data acquisition, governance, and delivery. Responsibilities: - Join the engineering team of Man Group’s central data platform, named Codex - Work on projects that are cross-cutting and high-profile, used by teams across the business - Empower the userbase to become data engineers with the software developed - Consider how to expand the offering to the entire business with greenfield projects Required Qualifications: - Expertise in software engineering, ideally in Python - Demonstrated ability to work collaboratively in team settings, with strong communication skills - Familiarity with one or more relevant database technologies such as Snowflake, PostgreSQL, Iceberg, or MongoDB - Genuine interest in tackling data challenges at scale - Proficiency in (at least) one programming language, modern software engineering principles, and clean code practices - Understanding of software testing fundamentals, including the testing pyramid Preferred Qualifications: - Exposure to building reliable, production-grade applications - Comfortable working on Linux platforms and using Git - Experience with Python and proficiency with scientific libraries such as Pandas, NumPy, SciPy, statsmodels and scikit-learn - An interest in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bank - Experience working with large data sets, both structured and unstructured - Experience building web applications using modern frameworks like React - Awareness of distributed computing technologies such as Spark, Dask, Kubernetes, Redis - Good understanding of financial markets and instruments - Experience working with financial market data - Relevant mathematical knowledge e.g., statistics, time-series analysis Required Skills: Python, Software engineering, Database technologies Important Skills: Data challenges, Software testing, Linux, Git Nice-to-Have Skills: Analytic approach Benefits: Generous holiday allowance, Various health and other flexible benefits, Continuous learning and development via coaching, Mentoring, Regular conference attendance, Sponsoring academic and professional qualifications, Two annual 'Mankind' days of paid leave for community volunteering, Competitive holiday entitlements, Pension/401k, Life and long-term disability coverage, Group sick pay, Enhanced parental leave, Long-service leave, Private medical coverage, Discounted gym membership options, Pet insurance