Adam Paschke
About Adam Paschke
Adam Paschke serves as the Vice President at Two Sigma Ventures in New York, having held the position since 2022. He has extensive experience in technology and finance, with a strong background in high frequency trading and software development.
Work at Two Sigma Ventures
Adam Paschke has served as Vice President at Two Sigma Ventures since 2022. In this role, he focuses on investment strategies and technology development within the firm. Previously, he worked as an Engineer at Two Sigma Ventures from 2019 to 2022, where he contributed to various projects that enhanced the firm's technological capabilities.
Previous Experience in Technology Leadership
Prior to his current role, Adam Paschke held several key positions in technology and engineering. He was the Chief Technology Officer at Integral Derivatives, LLC from 2009 to 2013, overseeing technology strategy and implementation. He also worked at EquityZen as Head of Technology for 9 months in 2016 and as Lead Product Engineer from 2014 to 2016, where he played a significant role in product development.
Educational Background
Adam Paschke studied Computer Science at Carnegie Mellon University, earning a Bachelor of Science degree from 1999 to 2003. He also attended New York University for a year from 2013 to 2014, furthering his knowledge in technology and finance. His education has laid a strong foundation for his career in technology and high-frequency trading.
Technical Skills and Expertise
Adam Paschke possesses a wide range of technical skills, including proficiency in programming languages such as Python, Perl, SQL, Java, C#, C++, Objective C, and PHP. He is experienced in deploying applications on platforms like Amazon Web Services and Google App Engine. His expertise extends to frameworks such as Django, ElasticSearch, and AngularJS, which he utilizes to build robust web applications.
Background in High-Frequency Trading
Adam Paschke has a strong background in high-frequency trading, focusing on developing systems for rapid execution of financial transactions. His experience in this area includes advanced skills in data modeling and processing, which are essential for managing large datasets efficiently.