


Imperial College Algorithmic Trading Society
Financial Services • London, England, United Kingdom • 11-20 Employees
Company overview
| Headquarters | London, England, United Kingdom |
| Phone number | +441151241 |
| Websites | |
| NAICS | 52 |
| Founded | 2018 |
| Employees | 11-20 |
| Socials |
Key Contact at Imperial College Algorithmic Trading Society
Adam Snelling
President
Imperial College Algorithmic Trading Society Email Formats
Imperial College Algorithmic Trading Society uses 5 email formats. The most common is {first name}.{last name}@company.com (e.g., john.doe@company.com), used 42.1% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name}@company.com | john.doe@company.com | 42.1% |
{first name}@company.com | john@company.com | 25.3% |
{first name initial}{last name}@company.com | {first name initial}doe@company.com | 14.8% |
{first name}{last name}@company.com | johndoe@company.com | 10.2% |
{last name}@company.com | doe@company.com | 7.6% |
About Imperial College Algorithmic Trading Society
We are Imperial's primary society for all things trading and financial markets (traditional market making, algorithmic trading, quantitative trading - everything trading and more!) 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 revenue & valuation
| Annual revenue | $1,368,880 |
| Revenue per employee | $86,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Financial Services industry and current estimated revenues | $4,400,000 |
| Total funding | No funding |
Employees by Management Level
Total employees: 11-20
Seniority
Employees
Employees by Department
Imperial College Algorithmic Trading Society has 1 employees across 1 departments.
Departments
Number of employees
Funding Data
Imperial College Algorithmic Trading Society has never raised funding before.
Frequently asked questions
4.8
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