Associate Software Engineer

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 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 Arctic

DB 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, Open Stack 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.

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

• 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, Postgre
  
  SQL, Iceberg, or Mongo
  
  DB.
• 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.

• 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, Num Py, Sci Py, stats models 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 such as statistics, time‑series analysis.

• Strong academic record and a degree with high mathematical and computing content such as 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.

$80,000 - $100,000 USD