Academic Backgrounds That Are Fit For Algo Trading

Academic Backgrounds That Are Fit For Algo Trading

By Shipra Tripathi

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.

Academic Backgrounds That Are Fit For Algo TradingClick To Tweet

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.

Can I Be A Quant In My 40s?

Sharing the detailed journey of a person who opted to go for a career change at 40. There was a time when people had to 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
  • Accounting
  • Savings and Investment Strategies
  • Tax Effects

Read on to know more about this interesting change in his career path.

How Can Algorithmic Trading Add Value To Finance & Tech Grads?

Automating your tasks can prove to be a boon. Since a discretionary trader has the knowledge of the markets; it is easier for him to decide the logical makeup for the algorithm. Say, the trader is keen on pairs trading, studying the complimentary long and short positions in different stocks or options is not a skill to be acquired. The trader is already aware of the comparative market or historical study. The trader is also aware of how to go about developing analytical strategies. Empowered by machine learning, the same person can automate the process of buying and selling. This minimises missing stances, change in stock prices governing the change in the relative positions. Have you worked as a:

  • Financial Consultant
  • Fintech Professional
  • Micro and Macro-economist for Business
  • Equity Markets and Portfolio Manager

If yes, you will connect with Rohit Gupta who after being a trader exposed to China/HK market along with Currency/Commodities markets opted for Executive Program in Algorithmic Trading (EPAT™). He is also an MBA from The Chinese University of Hong Kong and has a good exposure in Capitals markets. After successfully completing the course and getting placed by QuantInsti® Rohit shared his experience with us. Rohit’s story might be an interesting read for those coming from the following professional backgrounds:

  • Institutional Asset Management
  • Trading
  • Financial Management and Consulting
  • Money & Debt Markets

Read the full blog to know how can you benefit from the course

Learn Algorithmic trading from Experienced Market Practitioners




  • This field is for validation purposes and should be left unchanged.

How Can Technical And Financial Experts Become Quants?

Equities market offers a broad range of career opportunities. If you are in the business development, strategy or technical side of the business, this article will tell you how to make the switch to the profit earning side. Good working knowledge of the industry gives an immense boost.

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.

How Does EPAT™ Cater To The Need Of Essential Skill Sets Required For Algorithmic Trading?

In this case study, we are elaborating on the story of an EPATian, Jayalaxmi Ganihar. Jayalaxmi was a Financial Analyst prior to enrolling for EPAT™. After successful completion of the programme, Jayalaxmi joined WorldQuant LLC which is headquartered in Old Greenwich, Connecticut. Given in detail is an account of her take on QuantInsti®’s curriculum, placement procedure, and opportunities.

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.

Next Steps

If you are on the business development, strategy or technical side of the business, this article will tell you how to make the switch to the profit earning side. Read on to know how Maxime Fages, who comes from a strong M&A and corporate strategy background, enrolled with QuantInsti. After the certification, Maxime started his own quant research firm.