Associate Python Engineer

Man Group•Boston, MA

18h•Hybrid

About The Position

Man Group is a global alternative investment management firm. The role is for a high-performing associate software engineer to join the engineering team of Man Group’s central data platform, named Codex. This platform is cross-cutting and high-profile, with hundreds of internal users, and the work done will be used across the business for years. The team's focus is not on being a data engineering team, but rather on empowering its userbase to become data engineers through its software. This is an opportune time to join as the team plans to expand its offering with greenfield projects. The Codex platform has three main pillars: Data Acquisition (an ETL/ELT platform for research and production, scaling to multi-terabyte datasets, and indexing all data for re-usability and discoverability), Data Governance (cataloguing thousands of datasets, allowing discovery, entitlements, data quality, and end-to-end data lineage), and Data Delivery (providing a unified interface across thousands of datasets with a focus on scaling, identifier mapping, and UX).

Requirements

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
Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics
Intellectually robust with a keenly analytic approach to problem solving
Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
Focused on delivering value to the business with relentless efforts to improve process
Strong interpersonal skills: able to establish and maintain a close working relationship with quantitative researchers, portfolio managers, traders and senior business people alike
Clear communicator: able to argue a point concisely and deal positively with conflicting views

Nice To Haves

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

Responsibilities

Contribute to the engineering team of Man Group’s central data platform, Codex
Develop software to empower users to become data engineers
Work on greenfield projects to expand the platform's offering across the business
Contribute to the Data Acquisition pillar, including ETL/ELT platforms and data indexing
Contribute to the Data Governance pillar, including data cataloguing, discovery, entitlements, data quality, and data lineage
Contribute to the Data Delivery pillar, focusing on scaling, identifier mapping, and user experience

Benefits

Competitive compensation
Generous holiday allowance
Various health and other flexible benefits
Discretionary bonus
Working environment that champions equality of opportunity
Opportunities to make a difference through charitable and global initiatives
Professional development
Flexible working arrangements
Two annual 'Mankind' days of paid leave for community volunteering
Pension/401k
Life and long-term disability coverage
Group sick pay
Enhanced parental leave
Long-service leave
Private medical coverage (depending on location)
Discounted gym membership options (depending on location)
Pet insurance (depending on location)
Continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications