Paul Kerrigan
About Paul Kerrigan
Paul Kerrigan serves as the Core Data Team Lead at Squarepoint Capital, specializing in functional programming and data ingestion engines. He holds a Bachelor's Degree in Chemistry from Trinity College, Dublin, and has a background in kdb+ development and research assistance.
Work at Squarepoint Capital
Paul Kerrigan has been employed at Squarepoint Capital since 2017, serving as the Core Data Team Lead. In this role, he oversees data management and ingestion processes, ensuring efficient data flow within the organization. His expertise in functional programming and data ingestion engines contributes to the team's success in handling large datasets and optimizing data operations.
Education and Expertise
Paul Kerrigan earned a Bachelor's Degree in Chemistry from Trinity College, Dublin, where he studied from 2011 to 2015. Prior to this, he completed his Irish Leaving Certificate at Pobalscoil Neasain, focusing on subjects such as Physics, Chemistry, Geography, History, Mathematics, and English. His educational background supports his strong analytical skills and proficiency in laboratory techniques.
Previous Experience at Kx Systems
Before joining Squarepoint Capital, Paul Kerrigan worked as a kdb+ Developer at Kx Systems from 2015 to 2017 in London, United Kingdom. In this position, he specialized in on-disk kdb+ systems, contributing to the development and optimization of data solutions. His experience at Kx Systems laid the foundation for his current role in data management.
Research Assistant Role at The University of Tokyo
In 2014, Paul Kerrigan served as a Research Assistant at The University of Tokyo for a duration of two months in Kashiwanoha. This role provided him with valuable research experience and exposure to international academic environments, further enhancing his analytical capabilities and problem-solving skills.
Technical Skills and Proficiencies
Paul Kerrigan possesses a strong problem-solving skillset, with proficiency in programming languages and tools such as Python, SQL, and Unix. His technical expertise is complemented by his knowledge of functional programming and data ingestion engines, making him a valuable asset in data-centric roles.