Manage defined workstreams, including coordinating junior staff and reviewing work to ensure accuracy, deadlines, and overall project quality are met.
Work independently within an assigned scope, contributing to external meetings, drafting key documentation, and supporting team development through guidance and feedback.
Design and scale end-to-end AI platforms, from data ingestion and feature engineering to model deployment and monitoring.
Partner with investment, risk, and operations teams to deliver AI solutions across the investment lifecycle (sourcing, diligence, portfolio monitoring).
Establish architectural standards for predictive analytics, NLP, LLM / GenAI, and advanced modeling use cases.
...