We are looking for an experienced Quant Research Lead to lead the development of internal data functions powered by advanced AI/ML techniques. This role is central to transforming raw financial and alternative datasets into high-impact insights used by our Quant Research teams.

What You’ll Do:

• Lead the design and implementation of scalable data products integrating AI/ML models
• Partner with QR teams to identify key use cases in alpha and signal generation
• Explore and structure complex datasets—including alternative, fundamental, and market data
• Building tools that translate data insights into actionable outcomes, mostly for Equities, Macro and Commodities strategies
• Drive innovation in data usage, model explainability, and research workflows

What We’re Looking For:

• 15+ years in Quantitative Research, Data Science and AI/ML, mostly within finance
• Deep experience applying machine learning to large, diverse datasets
• Strong understanding of equity and commodity markets and their associated data
• Proven ability to lead interdisciplinary teams and bridge research, data, and investment functions
• A hands-on mindset with a strategic lens for long-term data architecture