Laura Fang
About Laura Fang
Laura Fang is an incoming FX Options Trader at UBS in New York City, where she has worked since 2022. She holds a Bachelor's degree in Operations Research and Financial Engineering from Princeton University and has diverse experience in finance, consulting, and machine learning.
Work at UBS
Laura Fang has been working at UBS as an Incoming FX Options Trader since 2022. She is based in the New York City Metropolitan Area. In her role, she engages with foreign exchange options trading, contributing to the firm's operations in the financial sector.
Education and Expertise
Laura Fang studied at Princeton University, where she earned a Bachelor of Science and Engineering in Operations Research and Financial Engineering from 2019 to 2023. She is also pursuing certificates in Computer Science, Statistics & Machine Learning, and Finance, reflecting her commitment to enhancing her expertise in quantitative research and trading.
Background
Laura Fang completed her high school education at St Charles North High School, graduating with a High School Diploma in 2019. She has a diverse work history that includes positions in finance, consulting, and technology, showcasing her adaptability and range of skills.
Professional Experience
Prior to her role at UBS, Laura held several internships and positions. She worked as an Accounting and Finance Intern at Kane County Cougars Baseball in 2019, a Software Intern at Nautilus Software Technologies Limited in 2020, and a Consultant at Princeton University Nonprofit Consulting from 2020 to 2021. Additionally, she served as a Research Intern in Machine Learning and Plasma Physics at Princeton University in 2021 and as a Data Science Fellow at the U.S. Census Bureau.
Passion for Machine Learning
Laura Fang believes in the potential of machine learning and related fields to create positive impacts in communities. Her interests lie in the applications of machine learning, optimization, and quantitative research, particularly within the financial and economic sectors.