CUATS

Cambridge University
Algorithmic Trading Society

 

 

Events

We have an upcoming talk by Professor Peter Carr of NYU Tandon School of Engineering where he is Chair of the Department of Finance and Risk Engineering.  Professor Carr has headed various quant groups in the financial industry for twenty years. He also presently serves as a director for the Society of Quantitative Analysts (SQA) and a trustee for the National Museum of Mathematics, and WorldQuant University. Prior to joining the financial industry, Dr. Carr was a finance professor for 8 years at Cornell University, after obtaining his Ph.D. from UCLA in 1989. He has over 85 publications in academic and industry-oriented journals and serves as an associate editor for 8 journals related to mathematical finance. He was selected as Quant of the Year by Risk Magazine in 2003 and Financial Engineer of the Year by IAQF/Sungard in 2010. From 2011 to 2014, Dr. Carr was included in Institutional Investor's Tech 50, an annual listing of the 50 most influential people in financial technology.

 

The title of his talk is "Adding Optionality - Derivative Security Pricing in a New Model”

 

The event is scheduled for 19 November, 2020 at 17:00 pm GMT.

 

https://twitter.com/cuats_algos/status/1329385260849762304

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 on algorithm development and the basics of financial investment strategies.

Members

Yearly Events

Years Active

Hours of

Coding Sessions

What We Do

Speaker Series

 

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.

 

Coding Sessions

 

Our fortnightly Sunday coding sessions introduce mathematical concepts behind algorithmic trading, where you learn basic trading strategies and how to implement them in code.

These are hands-on, in-person sessions so a laptop is required.

Industry-Sponsored Workshops 

 

Our workshop events with our sponsoring companies and top industry employers enable members to participate in trading simluations, brain teasers, market making games, case studies, and to meet quant traders and recruitment leads.

Fireside Chat Series

 

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. We organise a roundtable during Michaelmas term to coincide with the recruitment season.

 

Conference

 

CUATS hosted its second annual quant conference on 22 February 2023 bringing together leading experts in the quant fields of alpha generation, portfolio optimisation, execution, and risk management.  Full bio details of the speakers and the programme and abstracts of talks may be viewed at

https://cuats.co.uk/conference 

Details of the inaugural CUATS quant conference in 2022 may be viewed at

https://cuats.co.uk/conference2022 

Gala

 

Our second annual CUATS Gala - the flagship event of the society - was held on 16 June 2023 in the Cambridge Union.  This is a formal event where members of the society are paired with industry sponsors for dinner, providing an exceptional opportunity for networking and career advancement.  The third CUATS Gala will be on 15 June 2024.  Save the date.

The CUATS Gala 2023 may be viewed at https://cuats.co.uk/gala and the CUATS Gala 2022 may be viewed at https://cuats.co.uk/gala2022

Challenge - Coding Competition

 

Our first coding competition was launched on 28 November, 2022 and concluded on 28 January, 2023 with finalists' presentations on 5 February, 2023.  https://cuats.co.uk/challenge This event was desgined to showcase Cambridge University talent in developing the best trading algorithm! Our second coding competition will launch in November, 2023.

 

Insight Days

 

An initiative launched in November, 2022 to arrange in-person site visits to some of the leading quant firms in London and other cities, providing a real-life glimpse into the life of a quant trader, quant researcher, and quant developer and strengthening the society's connections to its sponsoring companies.   

Fed Day Social

 

Launched in February, 2023 this is an initiative to live trade around the eight FOMC interest rate announcements that occur per year, explain the rationale behind the executed trades, and further develop our abilities to codify opportunitistic trading strategies. These mini-competitions contrast with the annual CUATS Challenge - Coding Competition which is longer in duration and focuses on lower frequency algorithmic trading strategies.

Brain Teasers

 

Launched in October 2023, this initiative aims to hold regular practice sessions to review and share different approaches to solving quant firm interview questions.   

Future As Yet Undefined Activity

 

See a gap in our current events? Have an idea for a quant finance related activity you want to actualise?  We're always interested in constructive feedback and suggestions to develop new initiatives for the society to better serve its members.   

Committee

The Cambridge University Algorithmic Trading Society (CUATS) 2023/2024 Committee members are:

Contact Us

 

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

Address:

Cambridge University Algorithmic Trading Society

University Centre, Granta Place

Cambridge  CB2 1RU

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

 

 

Privacy Policy

 

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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.