Senior Software Engineer

About Man Group

Man Group is a global alternative investment management firm focused on pursuing out performance 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

* As at 31 December 2025

As a Senior Software Engineer in the Front‑office Engineering organization at Man Numeric, you will work closely with Quantitative Researchers and Portfolio Managers. Your challenges will be varied and may include onboarding new datasets, implementing new trading signals, developing portfolio optimisation tools, building data visualisation frameworks, enhancing our research platform, and performance tuning existing code using efficient numerical algorithms and cluster‑computing solutions.

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack:
Num Py, Sci Py, Pandas, stats models, and scikit‑learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on Mongo

DB and MS SQL.

We use Control‑M and Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana and Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, 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.

• 5-7 years of professional experience in software engineering, preferably with a focus on quantitative applications
• Expert knowledge of Python and Pandas and proficiency with related scientific libraries including Num Py, Sci Py, stats models, and scikit‑learn
• Experience developing mission‑critical production systems, with knowledge of best practices for testing, monitoring, and deployment
• Proficient on Linux platforms and strong understanding of Git
• Working knowledge of one or more relevant database technologies, such as MS SQL, Postgres, or MongoDB
• Demonstrated experience working with large data sets, both structured and unstructured

• Experience in quantitative software development within a front‑office setting, such as at a hedge fund, proprietary trading firm, or investment bank
• Experience mentoring junior team members and managing projects
• Experience building web applications using modern frameworks like React
• Proficient with distributed computing technologies such as Spark, Dask, Kubernetes, Redis
• Knowledge of modern data engineering practices including data pipeline and ETL tools, distributed storage and processing and data warehousing
• Strong understanding of financial markets and instruments
• Experience working with financial market data
• Relevant mathematical knowledge e.g., statistics, time‑series analysis

• 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…