Tianjiao (Tiana) Wang
About Tianjiao (Tiana) Wang
Tianjiao (Tiana) Wang is a quantitative researcher with a strong academic background in finance and applied mathematics. She has worked at several prominent financial institutions, including Two Sigma and Squarepoint Capital, and holds degrees from Peking University and Carnegie Mellon University.
Work at Two Sigma
Tianjiao Wang has been employed at Two Sigma as a Quantitative Researcher since 2022. In this role, she applies her expertise in quantitative analysis to develop and implement trading strategies. Two Sigma is known for its data-driven approach to investment management, and Wang contributes to this by leveraging her background in finance and applied mathematics.
Previous Experience at Squarepoint Capital
Prior to her current position, Tianjiao Wang worked at Squarepoint Capital as a Quantitative Researcher from 2019 to 2022. During her tenure, she focused on quantitative modeling and analysis to support trading decisions. She also completed a summer internship at Squarepoint Capital in 2018, where she gained foundational experience in quantitative research.
Internships in Quantitative Research
Tianjiao Wang has completed multiple internships in quantitative research. In 2016, she interned at CICC for three months, where she gained practical experience in the field. Additionally, she interned at CITIC Securities Company Limited for four months in the same year, further enhancing her skills in quantitative analysis.
Education and Expertise
Tianjiao Wang holds a Master of Science in Computational Finance from Carnegie Mellon University, which she completed from 2017 to 2019. She also earned a B.A. in Economics and a B.S. in Applied Mathematics from Peking University, where she studied from 2013 to 2017. Her educational background equips her with a strong foundation in finance and quantitative methods.
Academic Background
Tianjiao Wang's academic journey began at The Experimental High School Attached to Beijing Normal University, where she studied from 2007 to 2013. She also attended The University of Hong Kong in 2015 for 11 months, focusing on finance. This diverse educational background has contributed to her expertise in quantitative research.