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Oxford Algorithmic Trading Programme Participant Testimonials
Gain an understanding of the rules that drive successful algorithmic trading strategies in six weeks with the Oxford Algorithmic Trading Programme.
After successfully completing this highly interactive and supported online learning journey, you’ll walk away with the ability to:
- Illustrate the methodologies used to model trading strategies for different types of financial markets
- Understand the fundamentals of classical and behavioural finance, and how theoretical trading models are applied in practice
- Formulate an opinion of the relationship between emerging technologies and the future of systematic trading
- Assess the efficacy of an algorithmic trading model within a live environment or real-world market circumstance
- Understand the historical and current state of systematic trading and the key challenges and opportunities faced by the industry
Continue reading to find out what past participants of this programme said about their online learning experience:
Stephen Olayiwola
Quant Analyst, Virgin Money
“The six-week programme provided a good flavour of what algorithmic trading constitutes and the content and insights gained particularly from heavy-weight experts provided real value for money. I enjoyed the materials and the interactive discussion board – seeing others perspectives on an eclectic range of topics covered. The programme affords me the base knowledge needed to develop and expand my algo skill set, and I would recommend it to anyone looking to start a career in algo-trading, but has no idea where to begin.”
Cezar Lupusor
Systematic Trader – Freelance
“My passion and eagerness to study finance and trading have been latent for quite a while. My journey of becoming a financial economist began in grammar school in Linz, Upper Austria: I was introduced to some basic concepts of technical analysis and [shown] how to apply them to stock trading during one of our IT lessons – although this was not the main topic of the lesson. However, those concepts attracted my interest, and I went on to study economics at WU Vienna in the year 2003. Economics was pretty analytical in terms of methodology and economic thinking. In fact, I wanted to study more finance than economics, but at that time WU Vienna did not offer a proper finance course.
I continued with economics and was quite confident that the acquired skills were useful for pursuing further studies with a finance focus. However, after I completed my studies at WU Vienna, life did not offer me that much and so I was looking for ways to improve my situation. I decided to study banking and finance at the University of Zurich. I spent one year there, but my happiness was rather limited. That was when I saw an ad on Facebook from Saïd Business School – it was about the online Oxford Algorithmic Trading Programme. I decided to give up my studies in Zurich and enrol. This was the turning point in my life. After completing the programme in January 2019, things became much better. Finally, I managed to get accepted at Bayes Business School in London for the MSc in quantitative finance in 2019. Getting to study in the UK has been the greatest success of my life so far!
After graduation at Bayes Business School, I continued to study for two additional diplomas, one in applied financial trading at the London Academy of Trading and one in Python for algorithmic trading at the University of Applied Sciences Saarland (both online courses). This year, I’ll devote most of my time to applying for jobs in the fields of finance and economics. The Oxford Algorithmic Trading Programme contributed to much personal progress and satisfaction.”
Phil Richardson
Co-Founder, Miura Capital Ltd
“A great programme for those seeking to further their knowledge on the systematic trading industry. The content is clear, well presented, and very professional. Prompt responses to any questions or queries made participation around my job seamless.”
Learn what it takes to create successful algorithmic trading strategies.
Register now to learn with a global network, taught by industry leaders.