Chenjunjie (Olivia) Tang

olivia tang
Chenjunjie (Olivia) Tang

Chenjunjie (Olivia) Tang is a part-time PhD student in Financial Technology at Worcester Polytechnic Institute, having joined the program in Fall 2026. She is a Vice President in BlackRock's Multi-Asset Strategies & Solutions (MASS) team, where she works on multi-asset portfolio management, portfolio construction, and performance attribution. Since joining BlackRock in 2017, she has contributed to the development of investment analytics frameworks, including applications of machine learning in portfolio monitoring and investment management.

Her research interests lie at the intersection of artificial intelligence, machine learning, and investment management. Her research focuses on performance attribution, contextual portfolio analytics, and the application of AI-driven methods to identify and explain anomalous portfolio outcomes. Through her research, she seeks to bridge institutional investment practice with rigorous and interpretable analytical frameworks that support investment decision-making.

Olivia holds an MS in Financial Analysis and Risk Management from Temple University's Fox School of Business and a BS in Actuarial Science and Risk Management from Towson University. She is a CFA charterholder and holds the Financial Risk Manager (FRM) certification.

olivia tang
Chenjunjie (Olivia) Tang

Chenjunjie (Olivia) Tang is a part-time PhD student in Financial Technology at Worcester Polytechnic Institute, having joined the program in Fall 2026. She is a Vice President in BlackRock's Multi-Asset Strategies & Solutions (MASS) team, where she works on multi-asset portfolio management, portfolio construction, and performance attribution. Since joining BlackRock in 2017, she has contributed to the development of investment analytics frameworks, including applications of machine learning in portfolio monitoring and investment management.

Her research interests lie at the intersection of artificial intelligence, machine learning, and investment management. Her research focuses on performance attribution, contextual portfolio analytics, and the application of AI-driven methods to identify and explain anomalous portfolio outcomes. Through her research, she seeks to bridge institutional investment practice with rigorous and interpretable analytical frameworks that support investment decision-making.

Olivia holds an MS in Financial Analysis and Risk Management from Temple University's Fox School of Business and a BS in Actuarial Science and Risk Management from Towson University. She is a CFA charterholder and holds the Financial Risk Manager (FRM) certification.