Large investment fund develops and deploys systematic financial strategies across a variety of asset classes and global markets. We seek to produce high-quality trading signals (Alphas) through our proprietary research platform to employ trading strategies focused on exploiting market inefficiencies. Our teams work collaboratively to drive the production of Alphas and financial strategies - the foundation of a sustainable, global trading platform.
Technologists at fund research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually intense. Our teams are lean and agile, which means rapid prototyping of products with immediate user feedback. We seek people who think in code, aspire to solve undiscovered computer science challenges and are motivated by being around like-minded people. In fact, of the 700 employees globally, approximately 500 of them code on a daily basis.
Our investment company success is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Great ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess a mindset of continuous improvement. That's a key ingredient in remaining a leader in any industry.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an exceptional talent. There is no roadmap to future success, so we need people who can help us create it. Our collective intelligence will drive us there.
We are seeking a creative and driven technologist with strong technical and programming skills, proven problem solving ability and excellent communication skills. As an Engineer within the Core Technology DevOps team, you will work closely with other technologists, researchers and portfolio managers, monitoring and developing systems and tools to support our core production systems - build, testing and deployment pipelines, software and productivity tools, monitoring and middleware, data infrastructure.
Job Responsibilities (include, but not limited to the following):
• Monitoring and supporting our software infrastructure and model production system. Investigating and troubleshooting issues.
• Developing software systems in Python (or Java if you have a background)
• Integrating best-of-breed tools and technologies such as Spark, Kafka, Zookeeper, Mesos, Docker, Elasticsearch
• Assembling platforms and frameworks to automate business processes
• Collaborating with internal technology, research and portfolio management teams