Aneesh Ghosh
About Aneesh Ghosh
Aneesh Ghosh is a Vice President and Staff Data Engineer at Chase, with a background in data engineering and analysis. He has previously held positions at Freetrade and JPMorgan Chase & Co., and he holds degrees in Computer Science and Data Science from The University of Edinburgh and the University of Glasgow, respectively.
Current Position at Chase
Aneesh Ghosh holds the position of Vice President, Staff Data Engineer at Chase. He has been in this role since 2023, contributing to the company's data engineering initiatives in London, England. His responsibilities include overseeing data architecture and engineering processes, ensuring the efficient handling of data across various platforms.
Previous Experience at Freetrade
Before joining Chase, Aneesh Ghosh worked at Freetrade as a Senior Data Engineer from 2021 to 2022. During his tenure in London, he focused on developing data solutions that supported the company's trading platform. His role involved implementing data pipelines and enhancing data accessibility for analytics.
Career at JPMorgan Chase & Co.
Aneesh Ghosh has extensive experience at JPMorgan Chase & Co., where he worked in various capacities from 2014 to 2021. He started as an Intern in 2014, then progressed to Technology Analyst from 2015 to 2018, followed by roles as Associate from 2018 to 2020 and Senior Associate from 2020 to 2021. His work primarily took place in Glasgow, United Kingdom, where he contributed to multiple data-driven projects.
Education and Expertise
Aneesh Ghosh earned a Bachelor of Engineering (BEng) in Computer Science from The University of Edinburgh, studying from 2011 to 2015. He furthered his education by obtaining a Master of Science (MSc) in Data Science from the University of Glasgow, completing the program from 2017 to 2020. His academic background provides a strong foundation for his work in data engineering.
Academic Background
Aneesh Ghosh completed his GCE A Levels at Calcutta International School, where he studied Mathematics, Physics, Chemistry, Further Mathematics, Computing, and English Language. This early education laid the groundwork for his later studies in engineering and data science.