Work with the machine learning team and portfolio managers to translate investment questions into ML problems, develop and evaluate data-driven models (including simulation and optimization), maintain production models and tools, document methods and results, and stay current with ML/AI techniques relevant to finance. Gradually take ownership of features, components, and end-to-end projects.