Lead Computational Social Scientist

The Lead Computational Social Scientist at interos.ai drives the development of financial risk applications by applying quantitative social-science methods to analyze global supply chains, financial markets, and macro-level socio-economic trends. This role involves building and refining computational models, translating complex theoretical frameworks into practical insights, and collaborating with engineering and product teams to operationalize models at scale. The position requires strong communication skills to convey technical concepts to diverse audiences while staying current on emerging research and global events.