Davis Zhang
Quantitative Trader at Eschaton Trading- Claim this Profile
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Credentials
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Series 57
FINRANov, 2019- Sep, 2024
Experience
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Eschaton Trading
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United States
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Capital Markets
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1 - 100 Employee
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Quantitative Trader
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May 2021 - Present
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Optiver
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Netherlands
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Capital Markets
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700 & Above Employee
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Quantitative Trader
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Sep 2019 - Jul 2020
- Traded QQQ, NQ, and NDX options in an execution-based role. - Traded ES, NQ, RTY, and YM futures using a high-frequency strategy. Primarily research-based role centered around the development of an algorithmic strategy with minimal trader intervention. - Traded QQQ, NQ, and NDX options in an execution-based role. - Traded ES, NQ, RTY, and YM futures using a high-frequency strategy. Primarily research-based role centered around the development of an algorithmic strategy with minimal trader intervention.
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Undergraduate Research Assistant
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Sep 2018 - May 2019
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Vanderbilt University Medical Center
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United States
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Hospitals and Health Care
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700 & Above Employee
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Undergraduate Research Assistant
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Jan 2018 - Oct 2018
Assisted in a retrospective analysis of RBC transfusion efficacy in critically ill patents over 65 which applied propensity score matching and association rule mining to examine the relationship between RBC transfusion, 30-day mortality, and 1-year mortality rates. Assisted in a retrospective analysis of RBC transfusion efficacy in critically ill patents over 65 which applied propensity score matching and association rule mining to examine the relationship between RBC transfusion, 30-day mortality, and 1-year mortality rates.
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CME Group
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United Kingdom
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Environmental Services
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Software Developer Internship
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May 2018 - Aug 2018
Automated core team operations by creating a CI/CD pipeline with Ansible and Jenkins to deploy market data applications to AWS EC2 instances. - Replaced multiple manual processes with Python scripts to automate deployments with improved speed/accuracy - Reduced the time required to test/deploy the team’s application suite from 18 hours to less than 3 hours Automated core team operations by creating a CI/CD pipeline with Ansible and Jenkins to deploy market data applications to AWS EC2 instances. - Replaced multiple manual processes with Python scripts to automate deployments with improved speed/accuracy - Reduced the time required to test/deploy the team’s application suite from 18 hours to less than 3 hours
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Vanderbilt University
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United States
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Higher Education
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700 & Above Employee
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CS 3650 - Database Management Systems TA
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Jan 2018 - May 2018
Provided office hours and graded student assessments, assignments, and projects. Provided office hours and graded student assessments, assignments, and projects.
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Urban Science
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United States
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Automotive
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500 - 600 Employee
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Data Analysis Intern
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Jun 2017 - Sep 2017
Researched and implemented neural network, random forest, and association rule mining strategies to identify cases of dealership fraud for auto companies. - Wrote diagnostic tests to evaluate the performance of in-place models - Met with end clients to determine project requirements and evaluate model performance - Increased accuracy over existing statistical models from 30% to 60% Researched and implemented neural network, random forest, and association rule mining strategies to identify cases of dealership fraud for auto companies. - Wrote diagnostic tests to evaluate the performance of in-place models - Met with end clients to determine project requirements and evaluate model performance - Increased accuracy over existing statistical models from 30% to 60%
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Education
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Vanderbilt University
Bachelor's degree, Mathematics and Computer Science