Ryan Peden
About Ryan Peden
Ryan Peden is a Quantitative Developer with a background in Electrical Engineering and Computer Science from the University of California, Berkeley. He has held positions at notable firms including Citadel Securities, Bloomberg LP, and Old Mission, and has experience in software engineering from an internship at Google.
Work at Old Mission
Ryan Peden currently serves as a Quantitative Developer at Old Mission, a position he has held since 2022. He works in New York, New York, contributing his expertise in quantitative analysis and software development. His role involves applying mathematical and statistical methods to solve complex problems, enhancing the company's operational efficiency and decision-making processes.
Previous Experience at Citadel Securities
Prior to his current role, Ryan Peden worked at Citadel Securities as a Quantitative Developer from 2019 to 2021. During his time there, he was based in Chicago, Illinois, where he focused on developing quantitative models and algorithms to support trading strategies. After his tenure, he spent a year in a non-compete period before transitioning to Old Mission.
Experience at Bloomberg LP
Ryan Peden gained valuable experience as a Quantitative Developer at Bloomberg LP from 2016 to 2019. He worked in New York, New York, where he contributed to the development of financial software solutions. His work involved leveraging quantitative techniques to enhance the functionality and performance of Bloomberg's financial products.
Internship at Google
In 2015, Ryan Peden completed a Software Engineering Internship at Google for three months in Cambridge, Massachusetts. This internship provided him with hands-on experience in software development and exposure to large-scale engineering projects, further solidifying his skills in programming and problem-solving.
Education and Expertise
Ryan Peden earned a Bachelor of Science degree in Electrical Engineering and Computer Science from the University of California, Berkeley, where he studied from 2012 to 2016. His educational background laid the foundation for his expertise in quantitative analysis, software development, and engineering principles, which he applies in his professional roles.