Quantitative Data Engineer

About the role

Develop and maintain data pipelines and the Snowflake platform, while enhancing dashboards and building analytical tools to support trading decisions. Conduct ad hoc analysis and develop machine learning models for supply-demand balances across US, European, and Asian markets, documenting methods and data processes. A master’s degree in a quantitative discipline such as mathematics, computer science, data science, statistics, or engineering is required, along with proficiency in Python and SQL. Cloud platforms or AWS, end-to-end machine learning experience, and knowledge of crude oil market fundamentals are advantageous; strong collaboration, communication, initiative, and problem-solving skills are also expected.