The role involves designing, developing, and maintaining high-performance desk tools to support trading strategies and analytics. The individual will implement and productionize quantitative models while building automated data pipelines to process market, weather, and storage information. Responsibilities include creating dynamic web-based dashboards and visualization tools to assist the trading group. The position requires close collaboration with traders and analysts to translate business requirements into effective software solutions. Additionally, the role entails maintaining a culture of responsible finance, governance, and ethical conduct in accordance with company policies.

Candidates must possess 3 to 8 years of experience in a quantitative development role. Expert proficiency in Python and software engineering best practices is required, along with experience in front-end application development, data pipelines, and relational databases. A strong understanding of time series analysis, statistical modeling, and machine learning is necessary. A Bachelor’s degree is required, while a Master’s degree is preferred.