Software Engineer - Multi-Asset Systematic Risk (Python)

Company Insight A technologically innovative and code-built quant trading firm are looking to engage with an exceptional Software Engineer to become an integral member of their industry-renowned Risk team. This is an opportunity for a technologically motivated individual to lend their knowledge of building large scale risk trading systems/applications and collaborate with like-minded and brilliant technologists to solve challenging real-world problems that have direct impact on business and trading in global markets across a diverse range of asset classes. Responsibilities In this role, you will play a key part in designing, building, and expanding a bespoke and revolutionary portfolio risk analytics framework to power systematic and algorithmic trading models. From day one, you will be given complete technological autonomy to develop highly scalable and performant solutions, leaving your own imprint and legacy on greenfield builds while partnering with various traders and researchers in optimising pre-existent front-office systems on trading desks across the business. Your present skillset 3+ years software development experience in writing high-quality, testable code in an object-oriented environment. Prior experience with Python 3 and Rest API Ability to work in a fast-paced environment. Understanding of modern software architecture and cloud platforms. Experience in financial services industry Experience with query optimization and performance tuning AWS, Kubernetes, docker, Helm Experience with more than 1 programming language