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Job Location | London |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent , full-time or part-time |
The RoleAs a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds,development of new portfolio construction techniques or building risk analysis tools. The TeamAHL Fast Trading Strategies is the team responsible for the development of high Sharpe, fast frequency strategies across all asset classes. The team has been running for over a decade and manage a large and successful portfolio across all asset classes spanningboth making and taking strategies. The nature of these strategies produce interesting technological problems focusing on tick data, statistical models and trading automation. Our TechnologyOur systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughputin Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker + Kubernetes for containerisation, OpenStackfor our private cloud, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working HereMan Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community.