Summary
Jason Rathgeber is a Vice President and seasoned financial technologist with 11+ years of experience architecting data-driven solutions for asset management and fixed income e-trading. He blends deep hands-on engineering (Java/Spring, Python, React) and cloud data platforms (Snowflake, PostgreSQL, MarkLogic) with practical machine learning and generative AI delivery using Azure AI and LangChain. Jason has led global analytics teams to build high-uptime reporting and pre-/post-trade systems that supported a $60bn AUM credit fund and drove measurable trading and collateral optimization. He is equally comfortable implementing BI platforms (QlikSense, Tableau, PowerBI) and writing production data pipelines that replaced legacy bottlenecks, yielding large performance gains for front-to-back trading workflows. Based in New York, he focuses on turning complex market connectivity and repo funding problems into automated, auditable solutions—and often prototypes generative AI to accelerate research and client analytics.
11 years of coding experience
26 years of employment as a software developer
Bachelor of Commerce (Honours) Finance, Bachelor of Commerce (Honours) Finance at University of Manitoba
SJR
Financial Mathematics, Financial Mathematics at University of Chicago