Jesse Wu
About Jesse Wu
Jesse Wu is a Trading and Execution Quantitative Researcher at Two Sigma, where he has worked since 2015. He has extensive experience in quantitative finance, having held positions at Goldman Sachs, JPMorgan, MarketFactory, and BlackRock, and holds advanced degrees in Statistics from Stanford University and the University of California, Berkeley.
Current Role at Two Sigma
Jesse Wu currently serves as a Trading and Execution, Quantitative Researcher at Two Sigma, a position held since 2015. In this role, he focuses on quantitative research methods, applying his expertise in mortgage structured finance and stochastic processes related to bond trading. His work contributes to the firm's innovative approach to electronic trading and quantitative analytics.
Previous Experience at Goldman Sachs and JPMorgan
Before joining Two Sigma, Jesse Wu held the position of Vice President at Goldman Sachs from 2006 to 2008, where he gained experience in the financial sector. Prior to that, he worked at JPMorgan as Vice President from 2002 to 2006. His roles at these prestigious firms provided him with a strong foundation in trading and quantitative analysis.
Experience at MarketFactory
Jesse Wu worked at MarketFactory from 2009 to 2015, where he held the position of Senior Quantitative Analyst and Lead Engineer. His responsibilities included high frequency data analysis and low latency data processing within electronic trading. This experience enhanced his skills in quantitative research and numerical methods.
Educational Background in Statistics
Jesse Wu holds a Master of Science in Statistics from Stanford University. He also earned a Bachelor of Science in Statistics from the University of California, Berkeley. His academic background provided him with a solid grounding in statistical analysis and quantitative methods, which he applies in his professional roles.
Technical Skills in Quantitative Analytics
Jesse Wu is proficient in core C++ and Python development, which he utilizes for quantitative analytics and statistical analysis. His technical skills support his specialization in numerical methods and enhance his capabilities in trading and execution within the finance industry.