Imperial College Algorithmic Trading Society
Company

Imperial College Algorithmic Trading Society

Financial Services London, City of, United Kingdom 15 employees
Employees
15

Imperial College Algorithmic Trading Society Overview

Headquarters
London, City of, United Kingdom
Industry
Financial Services
Employees
15
Founded
2018
NAICS
Finance and Insurance
Monetary Authorities-Central Bank
Keywords

About Imperial College Algorithmic Trading Society

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.

Imperial College Algorithmic Trading Society Contact Details

People in AeroLeads
4

Imperial College Algorithmic Trading Society Org Chart

Sample employees and titles
Name Title Contact
Raymond Wong Phd Student @ Imperial - Quantitative Researcher
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Shafi Maahe Chair of Imperial AI Society - President of Imperial Algorithmic Trading Society - Imeche and Igem Undergraduate Scholar - Meng Mechanical
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Alexandra Dahlgren Master Student in Machine Learning and Big Data in Physics at Imperial College London
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Leven Zhou Meng Mathematics and Computer Science at Imperial College London
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Employees by Management Level

Individual contributor 3 profiles
Executive 1 profile

Imperial College Algorithmic Trading Society Tech Stack

Data / AI 2 profiles

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