Parametric
Dailin Sun is a Senior Quantitative Analyst with extensive experience in quantitative modeling, optimization, and portfolio management, currently working at Parametric since September 2019. Dailin has held various roles at Parametric, including Associate and Quantitative Analyst, and is proficient in custom indexing, tax management, and multi-factor strategies, utilizing programming skills in Python, R, SQL, and C#. Dailin also serves as a Senior Quantitative Analyst at Morgan Stanley since January 2022. Previous positions include Business Analyst at Computershare Hong Kong, where oversight of employee share plans was a key responsibility, and involvement in a mentoring program at Barclays. Dailin's educational background includes a Master's degree in Computational Finance & Risk Management from the University of Washington and a Master's in Business Finance from Queen Mary University of London, along with a Bachelor's degree in Economics from Beijing University of Technology.
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Parametric
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Parametric partners with advisors, institutions, and consultants to build portfolios focused on what’s important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer alternative strategies to complement clients’ core holdings.