CUATS
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 on algorithm development and the basics of financial investment strategies.
We host outstanding, accomplished individuals across academia and industry in a series of talks and seminars held throughout the academic year. Academics discuss their research in quant finance, and industry experts share their experiences in real-life automated trading.
Join our bi-weekly Sunday coding sessions where you will be introduced to mathematical concepts behind algorithmic trading, learn basic trading strategies, and how to implement them in code.
These are hands-on sessions so a laptop is required.
Join our career networking events with top industry employers to participate in industry-sponsored workshops, and to meet quant traders and recruitment leads.
To complement our Speaker Series, in November, 2021 we initiated the Fireside Chat Series to highlight the experiences of current students and recent graduates who have completed internships or are working in the quant finance industry.
CUATS will be hosting its first conference in 2022 bringing together leading experts in the quant fields of alpha generation, portfolio optimisation, execution, and risk management. Full details of the speakers and the programme of talks will be confirmed in Lent term 2022.
Save the date:
Friday, 25 February, 2022
Join us for our inaugural CUATS Gala in June 2022 - a formal event where members of the society are paired with industry sponsors for dinner. This event promises to be an exceptional opportunity for networking and career advancement. Details and tickets to be announced in Easter term 2022.
Wednesday, 15 June 2022
The Cambridge University Algorithmic Trading Society (CUATS) 2021/2022 committee is comprised of:
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
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
© Cambridge University Algorithmic Trading Society
President
Farouk is the president of the society
Vice President
Christos is a second year enginneering student in Homerton College
Description
Description
Role
Description
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.
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.
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.