Tom Brown
About Tom Brown
Tom Brown is a Data Scientist with extensive experience in the capital markets industry. He has worked at notable firms such as Morgan Stanley, Thomson Reuters, and HypoVereinsbank, and holds degrees in Modern and Ancient History and Software Development from Queen's University Belfast.
Current Role at First Derivatives
Tom Brown currently serves as a Data Scientist at First Derivatives, a position he has held since 2015. His work is based in Newry, where he has accumulated extensive experience in data analysis and capital markets. Over the years, he has developed a strong proficiency in various data science methodologies and tools, contributing to the company's projects and initiatives.
Previous Experience at Morgan Stanley
Before his current role, Tom Brown worked at Morgan Stanley as a Data Scientist from 2016 to 2017. During this year-long tenure, he was involved in data-driven projects across multiple locations, including New York, Newry, and India. His role allowed him to apply his analytical skills in a high-stakes financial environment.
Work at HypoVereinsbank - UniCredit Bank AG
Tom Brown's career includes a position as a Data Scientist at HypoVereinsbank - UniCredit Bank AG, where he worked for 10 months in Munich and Newry from 2015 to 2016. This role provided him with valuable experience in the banking sector, focusing on data analysis and its applications in finance.
Educational Background
Tom Brown holds a Bachelor of Arts (B.A.) in Modern and Ancient History from Queen's University Belfast, which he completed from 2007 to 2011. He furthered his education by obtaining a Master's degree in Software Development from the same institution, graduating in 2014. This academic background laid the foundation for his career in data science and software development.
Technical Skills and Expertise
Tom Brown possesses strong technical skills relevant to his role as a Data Scientist. He is proficient in using version control systems such as Tortoise SVN and Git. Additionally, he has expertise in Linux/Unix environments and is skilled in qSQL, a language specifically designed for querying kdb+ databases. His technical abilities support his work in data analysis and software development.