Steve Lu

Steve Lu is a Quantitative Researcher at Nebula Research & Development LLC - Global StatArb in New York, NY, where he develops and implements systematic, quantitative strategies for global statistical arbitrage in liquid markets. His role centers on research and model development for global equities and related asset classes, leveraging advanced machine learning and data-driven techniques to generate alpha in institutional investment portfolios.

Previously, Steve held research roles at Data Capital Management, focusing on machine learning applications in finance, and at BlackRock, where he contributed to quantitative research for asset management across multi-asset and equity strategies. His experience spans the intersection of quantitative finance, machine learning, and large-scale data analysis for capital markets.

He holds an MS in Management Science and Engineering from Stanford University, an MS in Electrical Engineering from the University of Southern California, and a BS in Computer Engineering from California Polytechnic State University-San Luis Obispo. Steve is recognized for his expertise in systematic trading, financial technology, and the application of advanced data science to portfolio construction, with a specific investment focus on global equities and statistical arbitrage strategies.