Vytautas Gruslys

Quantitative Developer @ GSA Capital

About Vytautas Gruslys

Vytautas Gruslys is a Quantitative Developer currently employed at GSA Capital in London, England. He holds a PhD in Mathematics from the University of Cambridge and has previously worked as a Software Engineer at Argyle and as a Fellow in Pure Mathematics at Christ's College Cambridge.

Work at GSA Capital

Vytautas Gruslys has been employed as a Quantitative Developer at GSA Capital since 2022. In this role, he contributes to the development of quantitative models and algorithms that support the firm's investment strategies. GSA Capital is known for its focus on quantitative trading and investment management, and Gruslys plays a key role in enhancing the firm's technological capabilities.

Education and Expertise

Vytautas Gruslys has a strong academic background in Mathematics from the University of Cambridge. He completed his Bachelor's degree from 2008 to 2011, followed by a Master's degree from 2011 to 2012. He further pursued a Doctor of Philosophy (PhD) in Mathematics, which he achieved from 2012 to 2018. This extensive education has equipped him with advanced analytical and problem-solving skills relevant to his work in quantitative development.

Background

Before joining GSA Capital, Vytautas Gruslys worked at Argyle as a Software Engineer from 2020 to 2022. His experience also includes serving as a Fellow in Pure Mathematics at Christ's College Cambridge from 2015 to 2019. These roles have contributed to his expertise in software development and mathematical research, which are essential in his current position.

Professional Experience

Vytautas Gruslys has accumulated diverse professional experience in the field of mathematics and software engineering. His tenure at Argyle involved software development, while his role at Christ's College Cambridge focused on pure mathematics. This combination of experience in academia and industry has provided him with a unique perspective on quantitative analysis and model development.

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