Java Engineer - Execution at Man Group

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 $172.6 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 March 2025

The Role

As a Java Engineer you will be building the tools, platforms and algorithms that enable Man’s investment engines - AHL, Numeric and our Discretionary teams - to drive forward their centralized global trading operation. Your challenges will be varied and might involve building new execution algorithms, the platforms on which they run, simulation environments, intelligent order routing, connectivity to execution venues and brokers, tools for high touch and quant traders, monitoring capability, post-trade performance analysis and software to optimize all aspects of the trading lifecycle.

We are continually expanding the markets, asset classes and regions in which we trade as well as the styles in which we trade them. The team is responsible for designing imaginative and flexible software and tools to keep pace with this change.

We are looking to hire talented software engineers across the experience spectrum, and previous experience with almost any asset class will be an advantage.

The Team

The team is currently undergoing significant investment to rationalize the trading capability across AHL, Numeric and the Discretionary teams. The engineering team works exceptionally closely with both the Trading Desk and the Execution Research team to design, build and maintain a world-class trading capability. We have trading floors in London, Hong Kong, Boston and New York and are responsible for trading more than 8 trillion dollars annually.

Our Technology

Our systems are almost all running on Linux and most of our code is in Java, with some Python and TypeScript.

We use Kafka as the backbone of our platform, Aeron, Git for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerization, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static, we constantly evaluate new tools and libraries.

Technology and Business Skills

You will be an expert software developer and ideally understand the financial markets with relevant electronic trading experience in at least one of the asset classes that we trade. You’ll be a member of a highly focused team with an exceptionally broad responsibility, so great communication skills and an ability to work as part of a team are a must. You’ll possess a significant proportion of the following skill set.

Required

• Expert proficiency in Java.
• Python/Database skills required.
• Great communication skills coupled with the ability to work closely with both technical and non-technical colleagues.
• A proponent of strong software engineering techniques and agile methods: continuous integration, code review, unit testing, refactoring and related approaches.
• Proficient working on both Linux and Windows/Mac platforms.

Advantageous

• An excellent understanding of financial markets and instruments.
• Experience with FIX a significant advantage.
• Experience working closely with Quants and/or Traders.
• Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank.
• Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing.
• Experience of web-based development (TypeScript).
• Relevant mathematical knowledge e.g. statistics, asset pricing, time-series analysis optimization algorithms.

Personal Attributes

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
• Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
• Demonstrable passion for technology e.g. personal projects, open-source involvement
• Intellectually robust with an analytic approach to problem solving
• Self-organized 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, traders and senior businesspeople alike
• Confident communicator: able to argue a point concisely and deal positively with conflicting views.