Dongxin Sun
About Dongxin Sun
Dongxin Sun is a Senior Analyst at Analysis Group with expertise in complex derivative product investments and financial analytics.
Current Role at Analysis Group
Dongxin Sun has been serving as a Senior Analyst at Analysis Group since 2014. Based in Los Angeles, California, Sun's role involves analyzing complex derivative product investments, including synthetic collateralized debt obligations (CDOs) and mortgage-backed securities (MBS). As part of the job, Sun plays a key role in preparing PowerPoint decks for expert testimonies and trials and drafts sections of Economic Expert Reports for litigation cases. Sun's expertise extends to developing models for damage assessment and fund performance benchmarking using advanced statistical methods.
Previous Experience at Zurich Insurance Company Ltd
In 2013, Dongxin Sun worked as an Actuarial Analyst at Zurich Insurance Company Ltd for a three-month period in Los Angeles. During this time, Sun contributed to actuarial analyses and participated in various projects that likely involved statistical and financial modeling, given their professional background.
Previous Experience at PICC
Dongxin Sun's experience includes working as an Actuarial Analyst at PICC in China in 2012 for two months. This role likely involved analyzing actuarial data and contributing to financial assessments within the company.
Educational Background
Dongxin Sun completed a dual degree program at the University of California, Los Angeles (UCLA), earning a Bachelor of Science (B.S.) in Actuarial Science and a Bachelor of Arts (B.A.) in Economics from 2010 to 2014. This academic background provided a strong foundation in both quantitative analytics and economic theory, which are essential for Sun's professional roles in financial analysis and actuarial science.
Analytical Expertise
Dongxin Sun is skilled in analyzing complex derivative product investments, such as synthetic CDOs and MBS. Sun's expertise includes conducting research on executive compensation, mutual fund performance, and fees, and developing models for damage assessment and fund performance benchmarking. To achieve this, Sun utilizes advanced statistical methods such as linear and logit regression, stratification, and randomization. Additionally, Sun is experienced in selecting and negotiating with data vendors for market data inquiries specific to various cases.