Imperial College Algorithmic Trading Society Company Profile, Contacts & Intelligence

Imperial College Algorithmic Trading Society Overview

The Algorithmic Trading Society was founded in March 2018 with the aim of bringing students together to develop their understanding of the application algorithms in a financially driven context. We host weekly meetings along side our headline event algothon (algothon.org). We hope to build a community of Algo traders that can help improve one another. *To join as a member, please visit our listing on Imperial College Union and click the "Join Now" button where you will be asked to purchase a FREE membership* We are also the parent of the Imperial College Women in Trading Society ("WiT"), introducing STEM-focused women at Imperial College London to the fast-moving world of finance and markets by bridging the gap between hard-science classrooms and live trading floors. We curate technical workshops, panel discussions with market-making and buy-side professionals, and hands-on trading simulations that demystify industry jargon while building practical skills. Whether you’re a novice to trading or a veteran Quant we welcome all to be part of the society.

Headquarters

London, City of, United Kingdom

Website

www.imperialcollegeunion.org

Industry

Financial Services

Founded

2018

NAICS

Finance and Insurance, Monetary Authorities-Central Bank

Imperial College Algorithmic Trading Society Contact Intelligence

See which contact channels and departments are represented in the visible AeroLeads data.

Imperial College Algorithmic Trading Society People & Org Chart Preview

Sample people records show job titles and whether email or phone data is available without exposing raw contact details.

Imperial College Algorithmic Trading Society Workforce Composition

Seniority breakdown across 4 visible profiles.

Imperial College Algorithmic Trading Society Technology & Talent

Technology-related job titles represented in the visible people data.

Compare Similar Companies to Imperial College Algorithmic Trading Society

Explore companies in related markets and compare their industry and employee estimates.