We are in search of a Quantitative Full Stack Developer to collaborate closely with the Fixed Income Quant Research Team. In this role, you will engage in a range of projects across various facets of the investment process, such as data loading, research tool development, model generation, and analytics.
Your primary responsibility will involve shaping and constructing a novel data processing and modeling process for the Fixed Income Team, leveraging Python and a cutting-edge cloud-native scalable-computing platform. You'll work in tandem with Fixed Income Researchers and Portfolio Managers, concentrating on refining all aspects of the research and production model code vital for supporting the team's investment strategies.
This position will afford you the opportunity to cultivate a comprehensive understanding of quantitative and economic models, gaining insight into the key inputs driving model outcomes.
Primary Responsibilities:
Enhance, develop, test, and deploy production model code to support existing research platforms and strategy/portfolio applications.
Aid in migrating code to a new Python-based quantitative infrastructure. Collaborate with other members of the Technology team to propose modern architectures and determine optimal end-to-end solutions.
Implement industry-standard best practices for software design, lead internal code review procedures, conduct code analysis, and identify software risks proactively.
Architect and implement efficient end-to-end data and analytical solutions that fulfill internal business needs, leveraging a Python stack.
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