View all jobs
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 manual 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 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 in order to rationalise the trading capability across AHL, Numeric and GLG. 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. We have trading floors in London, Hong Kong, Boston and New York and are responsible for trading in excess of 5 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, 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 in at least one of the asset classes that we trade. You’ll be a member of a highly-focussed 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
Senior Java Developer (other BE w/ algorithms)
Sofia, SofiaThe Role
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 manual 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 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 in order to rationalise the trading capability across AHL, Numeric and GLG. 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. We have trading floors in London, Hong Kong, Boston and New York and are responsible for trading in excess of 5 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, 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 in at least one of the asset classes that we trade. You’ll be a member of a highly-focussed 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.
- Algorithms
- Database / SQL skills.
- 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 platforms.
- An excellent understanding of financial markets and instruments.
- Experience with FIX a significant advantage.
- Python knowledge.
- 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 optimisation algorithms.
- 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