Algo Trading comprises of employing machine language to deploy your trading strategy. It is equally important to know how to formulate and how to implement a strategy by way of a programme. Knowledge of a programming language is an added advantage as it enables you to function independently. At QuantInsti®, the curriculum is designed to give equal weight to modules that teach you how to formulate your own strategy and how to implement the same using machine language. In this article, we have covered subjects of study, academic and professional backgrounds which match the requirements for algo-trading.
Anyone with a bachelor's degree or a post graduation in commerce/finance acquires a preliminary understanding of the sector. Opting for professional training to learn Algo-Trading is the next step in the journey. The Executive Program in Algorithmic Trading (EPAT™) broadly covers topics on Options, Derivatives, and Risks and automated trading systems required to start trading. EPATians are also trained on basics of excel, data visualization, applications of various models.EPAT™ batches comprise of people hailing from diverse academic backgrounds, people who have worked in equity management firms, investments firms, commodity markets and even those belonging to the newly developed wing of cryptocurrency trading. The educational process at QuantInsti® is not just a unidirectional flow of information but a multifaceted symbiotic knowledge sharing initiative. We have assorted some of our case studies to share the experience of our participants. These are people who have not only successfully completed the course but made the most of the opportunity by transforming it into a profitable career option. choose a career in their teens and stick to it for a lifetime. The constant change in technology and introduction of new career fields not only demands us to be knowledgeable about the new skill set requirements but also opens multiple new opportunities for us. People who have worked in the domains listed below will connect to this story.
- Investment Banking, Wealth Management
- Real Estate Capital Markets
- Savings and Investment Strategies
- Tax Effects
- Financial Consultant
- Fintech Professional
- Micro and Macro-economist for Business
- Equity Markets and Portfolio Manager
- Institutional Asset Management
- Financial Management and Consulting
- Money & Debt Markets
On many occasions, an educational liaise formed during the course has turned into a business partnership. One such case is of Maxime Fages and Derek Wong. These two men, who come from different nationalities and professional background saw entrepreneurship as the most likely step ahead. The basic need was to identify others who are in the same boat and to know how did they attain success. This case study scripts their experience.
People hailing from Planning, Analysis, Management and Control, Merger and Acquisition or Business Development wing of the financial sector shall connect best with this case study.
The field of algorithmic trading has a high demand for people with advanced technological skill sets. To cater to the changing requirements of the quantitative organizations, candidates need to be knowledgeable and aware of the contemporary tools and practices. Addressing the need, QuantInsti® provides a comprehensive Executive Programme in Algorithmic Trading (EPAT™). The programme which is spread over a span of six months offers in-depth and on-ground training to aspiring Quantitative Traders. While this categorisation holds relevance to form an idea of the market, enumeration of academia that helps build a technical understanding does not comprise as long a list as the previous one. A bachelor’s or master's degree in computer science inculcates the right mindset to learn programming languages, most popular ones being R, Matlab and Python.