About The Role
A leading fintech that gives top clients the flexibility and scale they need to have a competitive advantage by providing them with the premier infrastructure and analytics platforms that enables them to build successful and innovative businesses with forward-looking technology.
You will be part of a small highly Agile team consisting of quant researchers and developers tasked with developing a cloud-native cross-asset risk analytics platform that has a direct impact on the client’s PnL. This role would give you the opportunity to gather requirements directly from end-users, both internally and externally, and the UX team to deliver high-quality software as well amazing user experience. The company is using the latest versions of Python, Go, AWS cloud-tools and actively promotes the use of open-source technology.
At least 3 years of Python OO development building enterprise-level distributed systems.
Experience with modern software engineering practices: code review, test-driven development, continuous integration, agile methodologies
Excellent analytical and problem-solving abilities
Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals
For more information, please email Hristian.Rachev@stanfordblack.com