Lareina Wang works at the intersection of quantitative finance, data science, and sustainability.
As a Quantitative Researcher at Fidelity Investments, she focuses on portfolio construction and the development of investment strategies that incorporate a wider range of data.
Her work uses machine learning and alternative datasets, including geospatial, government, and climate data, to better understand long-term risk and value.
This reflects a broader shift in finance. Traditional financial metrics are being supplemented by data that captures how companies operate in the real world.
Before joining Fidelity, Lareina worked as a Research Associate at Harvard Business School, contributing to research grounded in applied economics and data analysis.
Her work moves across domains: finance, policy, and data, while remaining rooted in analytical rigor.
She operates in a space where investment decisions are increasingly shaped by complex, interconnected systems.
Found her interesting? Connect with Lareina on LinkedIn.
