Teams at RavenPack

Lead quantitative investment use cases by building ML and NLP solutions for alpha generation and financial workflows. Partner with financial institutions on proofs of concept and pilots, apply LLMs, LRMs, fine-tuning, and multi-agent systems, and advance applied AI research. Collaborate with engineering, product, and executive teams to deliver scalable solutions, while representing the company at industry and client events.

Lead Bigdata.com’s content acquisition and partnership strategy, sourcing, pitching, negotiating, and closing licensing agreements with financial data vendors, alternative data providers, and content owners. Translate investment research use cases into commercial proposals, collaborate with Legal, Product, and Engineering on content integration, manage the partnership pipeline, report commercial impact to leadership, represent RavenPack externally, and build the partnerships team as the function scales.

Develop and optimize search and LLM systems for financial applications. Responsibilities include fine-tuning open-source models, preference alignment, inference acceleration, quantization, retrieval optimization, modular AWS SageMaker and Docker pipeline delivery, and automated benchmarking of model quality, latency, and cost.