Phil Howson
About Phil Howson
Phil Howson is the Chief Technology Officer at Iona Mind, with a background in algorithmic trading and technology development. He has held various positions at notable firms such as UBS, Morgan Stanley, and GSA Capital, and has been recognized as the Best IT Student in 2004 by the Institute of Electrical Engineers.
Current Role at Iona Mind
Phil Howson serves as the Chief Technology Officer at Iona Mind, a position he has held since 2019. His role involves overseeing the technology strategy and implementation within the organization. Based in the San Francisco Bay Area, he contributes to the development and enhancement of technology solutions that support the company's objectives.
Professional Background
Phil Howson has an extensive professional background in technology and finance. He began his career at Morgan Stanley, where he worked as an Associate from 2004 to 2006. He then joined UBS, where he held roles as a Developer in the Equity algorithmic trading team and as an Analyst in Quantitative Trading Strategies. His experience also includes significant positions at Barclays Capital, GSA Capital, and XTX Markets, where he was involved in algorithmic trading and automated trading systems.
Education and Expertise
Phil Howson studied Computing at Imperial College London from 2001 to 2004, graduating with a first-class degree. His educational background laid the foundation for his expertise in algorithmic trading and technology development. Additionally, he participated in the S21 Batch at Y Combinator in 2021, further enhancing his skills in technology and entrepreneurship.
Awards and Recognition
In 2004, Phil Howson was awarded the title of Best IT Student by the Institute of Electrical Engineers. This recognition highlights his academic achievements and contributions to the field of information technology during his studies.
Mentorship and Contributions
Phil Howson has contributed to the technology community as a mentor at Techstars from 2017 to 2020. His mentorship involved guiding startups and emerging companies in London, United Kingdom, sharing his expertise in algorithmic trading and technology strategies.