Applied AI / ML & Quantitative Solutions Engineer

About the role

Translate business problems into statistical, analytical, or machine learning solutions, then select, evaluate, and deploy models in production. Independently investigate data using SQL and Snowflake, apply AI tools with appropriate oversight, and communicate progress, blockers, and next steps. Requires strong mathematics, statistics, and machine learning model-selection experience, including real-world production deployment, advanced SQL and Snowflake, and practical Python skills. Candidates should also have hands-on experience guiding AI tools, sound data modeling and engineering judgment, and the ability to work independently and communicate clearly; finance or operations research experience is preferred.