Computational Finance and high Frequency Trading forms a major part of financial markets activity. Both disciplines penetrate into many areas including analytics, risk, trading, money management, compliance and IT among others. TTC formed the Computational Finance Group (CFG) in order to fill a gap between academic study and financial corporate practice in order to address the needs of the industry. We offer a unique research and educational programme in this area up to graduate level and above that includes the following subject specialisations:
- Machine Learning
- Algorithmic Trading
- Constraint Satisfaction
- Big Data Analysis
- High Frequency Trading
- Portfolio Optimization
- Statistical Arbitrage
- Risk analysis
The programme is designed to be academically rigorous and of immediate practical use in that attendees will learn to use technology and software programmes to create their own trading algorithms and approaches.
The Computational Finance Group Activities
The Objective of the CFG is to bring together cutting-edge knowledge and research into computational finance, to extend its reach into practical industry application and to link closely with educational and corporate entities who have experience and a working use for the technology.
The Computational Finance Education Programme
The programme is taught by world-renowned experts in this field with published works and outstanding academic records.
The Technology we use
TTC provides access to state-of-the-art technology where attendees are able to formulate, back-test and build algorithmic and high-frequency trading systems for deployment into realtime markets.
The Advanced Professional Diploma in Computational Finance
Please contact us to find out more about the Advanced Professional Diploma.