Associate Software Engineer

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com

* As at 31 December 2025

The Role

We’re looking for a high-performing associate software engineer to join the engineering team of Man Group’s central data platform, named Codex. Projects don’t get much more cross-cutting or high-profile than this: we have hundreds of internal users and whatever you work on will be used by teams across the business for years to come. Fundamentally, we are not a data engineering team: we empower our userbase to become data engineers with our software. This is a great time to join the team as we consider how to expand our offering to the entire business with some true greenfield projects. There are three main pillars of the Codex platform:

• Data Acquisition - an ETL/ELT platform for research and production which scales to multi-terabyte datasets; and can index all data at Man for re-usability and discoverability.
• Data Governance - cataloguing the thousands of datasets at Man; allowing discovery, entitlements, data quality, and end-to-end data lineage.
• Data Delivery - providing a unified interface across the thousands of datasets across Man with a focus on scaling, identifier mapping, and UX.

Our Technology

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. Within Data Engineering we use Pandas, Dataiku, Snowflake, Prometheus, and ArcticDB heavily.

We use Kafka for data pipelines, Python and Spark for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries.

Technology and Business Skills

We strive to hire only the brightest, best and most highly skilled, passionate technologists.

Essential

• 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.

Advantageous

• 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 f