CUATS

Cambridge University
Algorithmic Trading Society

 

 

 

CUATS Gala

15 June 2022

 

Welcome to the CUATS Gala 2022 - our flagship event of the year!  Join us in this unique networking and career event focussed on quant finance.

 

CUATS is excited to organising its first Gala!

 

This formal, black-tie evening event is an unique opportunity for students who are seriously considering a career in quant finance to meet experienced quant researchers, traders, developers, and hiring managers from leading hedge funds, proprietary trading firms, market makers, asset managers, and banks.

 

It will take place in the Keynes Library of the Cambridge Union Society at 9A Bridge Street, Cambridge  CB2 1UB.

 

The agenda of the Gala will be:

 

5:00 pm - 7:00 pm  Wine and canapes networking reception

 

7:00 pm - 10:00 pm  Three-course menu dinner with paired company executives and quant researchers/traders

 

You will have the opportunity to indicate your itnerests and preferences which will help to pair you with the most appropriate company for dinner.

 

Sponsor companies include: Jane Street, Five Rings, SIG, Citadel, D.E. Shaw, FlowTraders, IMC, and others.

 

Spaces are limited.  Book your place early to avoid disappointment.

 

Note: registration is not a guarantee of attending the dinner.  You will be contacted after registration to fill in a questionnaire and to optionally submit a CV for consideration.  Should spaces for dinner be filled, a partial refund will be processed for applicants to attend the networking reception only.

 

Ticket bookings may be made here:

 

https://cuats_gala.eventbrite.co.uk  (Early bird)

 

We look forward to seeing you at the CUATS Gala 2022 on Wednesday, 15 June, 2022 - a truly unique networking and career opportunity that we hope you fully harness!

Contact Us

 

If you have any questions or suggestions, feel free to reach out to us

Address:

Cambridge University Algorithmic Trading Society

SU Building, 17 Mill Lane

Cambridge, CB2 1RX

United Kingdom

 

E-mail:

president@cuats.co.uk

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If you have any questions or suggestions, feel free to reach out to us!

 

E-Mail: ____@cuats.co.uk

 

Post Box

Cambridge University Algorithmic Trading Society

SU Building, 17 Mill Lane

Cambridge, CB2 1RX

 

 

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Meet the Committee

Farouk Hadeed

President

Farouk is the president of the society

Christos Antonopoulos

Vice President

Christos is a second year enginneering student in Homerton College

Alex ...

Description

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Description

About us 

 

The Cambridge University Algorithmic Trading Society (CUATS) is the first student society in Cambridge to promote the understanding of algorithms and their applications in financial trading. CUATS aims to provide interdisciplinary education of algorithm development and the basics of financial investment strategies. In the forms of workshops, networking sessions and tutorials (code writing of your own investment strategies), we wish to provide our members the necessary skills and the many opportunities to pursue a career in the financial industry as well as in the big data industry.

Vision

 

The Cambridge University Algorithmic Trading Society  is the first student society in Cambridge to promote the understanding of algorithms and their applications in financial trading. CUATS aims to provide interdisciplinary education of algorithm development and the basics of financial investment strategies. In the forms of workshops, networking sessions and tutorials (code writing of your own investment strategies), we wish to provide our members the necessary skills and the many opportunities to pursue a career in the financial industry as well as in the big data industry.

Mission

 

The Cambridge University Algorithmic Trading Society (CUATS) is the first student society in Cambridge to promote the understanding of algorithms and their applications in financial trading. CUATS aims to provide interdisciplinary education of algorithm development and the basics of financial investment strategies. In the forms of workshops, networking sessions and tutorials (code writing of your own investment strategies), we wish to provide our members the necessary skills and the many opportunities to pursue a career in the financial industry as well as in the big data industry.