Sean Sinykin
About Sean Sinykin
Sean Sinykin is the Co-Founder and Chief Science Officer at FSV Analytics, specializing in the application of AI and deep learning to decision-making processes. He has over 20 years of experience in the finance industry, focusing on trading and data analysis.
Work at FSV Analytics
Sean Sinykin serves as the Co-Founder and Chief Science Officer at FSV Analytics, a position he has held since 2015. In this role, he specializes in operationalizing decision processes using artificial intelligence and deep learning. Sinykin contributes to the development of innovative approaches for analyzing high-dimensional data, leveraging hyper-scale application architecture and AI technologies. He utilizes geographically replicated clusters of high-performance servers and thousands of dynamic microservices to enhance the company's analytical capabilities.
Education and Expertise
Sean Sinykin holds a Master's Degree in Computational Finance from the University of Washington, where he studied from 2014 to 2015. He also earned a Bachelor's Degree in Mathematics and Computer Science from Mercy College, completing his studies from 2013 to 2014. His education includes training by leading figures in algorithmic trading, machine learning, risk management, and evolutionary optimization, equipping him with a robust foundation in these fields.
Background in Finance
With over 20 years of experience in the Silicon Valley finance industry, Sean Sinykin has focused on trading stocks and options since 2000. Prior to his role at FSV Analytics, he worked as a Management Consultant at The Evans Group LLC from 2013 to 2015. His extensive background in finance and technology has positioned him as a knowledgeable figure in the intersection of these domains.
Contributions to Data Analysis
At FSV Analytics, Sean Sinykin has played a significant role in pioneering new methods for analyzing high-dimensional data. His work emphasizes the integration of artificial intelligence and advanced computational techniques to improve data analysis processes. This focus on innovation has contributed to the company's reputation in the finance sector.