Everett Moser is an associate software engineer in New York with 12 years of experience applying computer science and mathematics to equity derivatives engineering at Goldman Sachs. He blends strong algorithmic foundations and data-structures expertise with applied math in graph theory and optimization to build reliable trading systems. Since joining Goldman Sachs as an analyst in 2016 and advancing to associate in 2020, he has focused on backend engineering for complex financial products. Everett’s dual bachelor's in Mathematics and Computer Science from LSU underpins a pragmatic, analytically rigorous approach to problem solving. Early experience as a game developer intern gives him a practical appreciation for performance-sensitive code and rapid iteration. Colleagues describe him as a steady executor who translates quantitative ideas into production-ready software.
12 years of coding experience
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Louisiana State University
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