Modelling Data Scientist, Vice President AI Labs

What you'll do

• Translate business needs into well-scoped AI/ML solutions for client, investor, and operational problems.
• Design, build, and evaluate AI agents and agentic workflows using complex datasets.
• Rapidly prototype agentic solutions using cutting-edge tools, frameworks, and foundation model APIs.
• Build production-grade solutions that are reliable, scalable, and compliant with firm-wide safety standards.
• Develop and maintain evaluation frameworks to measure the quality, safety, and reliability of models in production.
• Manage the entire solution lifecycle from initial research and prototyping to scaled implementation.
• Present technical work clearly to senior leaders and promote thought leadership through publications and presentations.

What we're looking for

• A PhD in a quantitative field with 4+ years of professional experience is required.
• An MS degree in a quantitative field with 7+ years of professional experience in AI or data science is required.
• Candidates must have strong familiarity with Python programming.
• Candidates must possess a strong theoretical background and practical experience in AI, machine learning, optimization, or statistical techniques.
• Experience assessing the performance of machine learning methods and agentic systems through benchmark construction and metric design is required.
• Ability to collaborate and communicate across cross-functional teams is required.
• Academic publications, preprints, or open-source contributions are preferred.
• Experience with specific AI frameworks, cloud platforms, or financial data analysis is preferred.