Vinamra Rai

Vinamra Rai is a Quantitative Researcher at Boyd Watterson Asset Management, where he is responsible for designing and implementing advanced regression and machine learning models to provide comprehensive research and analytic support across all lines of business. His primary focus is on quantitative frameworks and predictive modeling to evaluate current funds, assess potential acquisitions, and analyze opportunities in new sectors. Vinamra collaborates with investment and research teams to deliver actionable, data-driven insights that directly impact acquisition strategy and portfolio construction, with broad exposure across fixed income, real estate, and multi-asset portfolios.

Before joining Boyd Watterson, Vinamra was an Associate at BlackRock in the Aladdin Wealth Division, where he specialized in systematic methodologies for factor-based portfolio risk and construction. His work at BlackRock centered on developing analytical frameworks for stress testing and empirical risk measurement, delivering recommendations utilized in portfolio management and asset allocation.

Vinamra holds a Master's in Financial Engineering from UCLA Anderson School of Management and a BTech in Civil Engineering, with a minor in English Literature, from the Indian Institute of Technology, Kanpur. He is known for leveraging cross-disciplinary quantitative expertise to drive investment research, with notable contributions in the areas of machine learning applications in asset management and systematic risk analysis.