Ken Liu

Quantitative Analyst @ Pharo Management

About Ken Liu

Ken Liu is a Quantitative Analyst at Pharo Management with a background in mathematics and economics from LSE and UCL.

Current Role at Pharo Management

Ken Liu currently works as a Quantitative Analyst at Pharo Management, a role he has held since 2019. His responsibilities likely include analyzing quantitative data to develop trading strategies, assessing risk, and assisting in investment decision-making. Given his background, Ken brings a wealth of experience in financial analysis and quantitative methods to this position.

Previous Experience at NatWest Markets

Before his current role at Pharo Management, Ken Liu worked at NatWest Markets as a Quantitative Analyst from 2018 to 2019. During his 8 months in London, United Kingdom, Ken likely focused on quantitative research, model development, and risk analysis to support trading and investment strategies.

Early Career Internships

Ken Liu gained early career experience through a series of internships. In 2018, he was a Sales & Trading Summer Analyst at Morgan Stanley in London, United Kingdom for 2 months. Prior to that, he was a Summer Technology Intern at Nomura in 2017 for 2 months, also in London. In 2016, Ken interned as a Summer Investment Intern at Hymans Robertson for 1 month in London. Additionally, he spent a year as a Year in Industry Student at Scottish Power Energy Networks in Kirkintilloch from 2013 to 2014.

Educational Background at LSE

Ken Liu attended The London School of Economics and Political Science (LSE), where he studied Mathematics and obtained an MSc in Financial Mathematics. His education at LSE from 2017 to 2018 provided a strong foundation in quantitative analysis, financial theory, and applied mathematics, equipping him with the skills necessary for his roles in finance.

Undergraduate Studies at UCL

Ken Liu earned his Bachelor’s Degree in Mathematics with Economics from University College London (UCL), where he studied from 2014 to 2017. This undergraduate education combined rigorous mathematical training with an understanding of economic principles, preparing him for a career in quantitative finance.

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