As an Execution Developer at Man 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 centralised 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 optimise 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.
The Team
The team is currently undergoing significant investment in order to rationalise 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 in order to design, build and maintain a world-class trading capability.
Our Technology
Our systems are almost all running on Linux and most of our code is in Java, with some Python and TypeScript. Some faster components have been implemented in C++ 20.
We use Kafka & Aeron as the backbone of our platform, Git for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerisation, 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 have an understanding of the financial markets with relevant electronic trading experience
Required
Proficiency in C++.
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 Linux.
Advantageous
An excellent understanding of financial markets and instruments.
Experience with FIX a significant advantage.
Experience working closely with Quants and/or Traders.
Python knowledge.
Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank.
Expertise in building pricing or alpha signal engines in C++ with native support for simulations & backtesting.
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-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, traders and senior business people alike
Confident communicator; able to argue a point concisely and deal positively with conflicting views.
Benefits
Hybrid working model
Competitive compensation package
25 days holiday allowance
Premium Health insurance
Employee Assistance program
Referral Bonus
Additional days off for long service and volunteering
Multisport card
Opportunities for professional development including internal tech talks
Conference attendance, and engagement with the open-source community.
By enabling them, you help us to develop and deliver better services in the way that's most convenient for you. For information and settings, see our Cookie Policy.