Quantitative Associate
Current- Built models in Python to streamline the modeling process and leverage Machine Learning techniques in credit and OOS regression benchmarking.
- Reviewed and validated models on their models’ soundness, assumptions, testing, and risk measures and proposed enhancements or extensions.
- Liaise with the Trading Desk to oversee model usage and controls, conduct meetings, coach interns, and oversee interns’ projects.
- Won 2nd place in firmwide innovation hackathon; built a software LLM + Retrieval-Augmented Generation (RAG) to redline legal contracts.