“For a Quantitative Investment Analyst, thinking and brainstorming to make a model is more important than coding the model itself” - Esuabom Dijemeni
After stumbling upon many sources to learn about Quantitative Finance, Esuabom came to Quantra. To enhance his skills and get more clarity about the domain.
This is Esuabom, sharing his journey and experience.
Hello everyone, I am Esuabom Dijemeni, currently based out of the United Kingdom. I work as a Quantitative investment analyst at BNP Paribas.
I used to be in medical tech before, but now I have switched to fintech. I am not the typical quant who went to business school and has a business degree due to which upskilling and constant learning becomes more important.
I am a keen learner and have this habit to keep taking online courses relevant to me. I have been taking up multiple courses across platforms in the Quantitative Finance domain to continuously learn and increase my skill set which will give me an extra edge.
Among these, the algo trading courses offered by Quantra stand out for their practical approach and comprehensive content. These courses not only enhance my understanding of algorithmic trading but also equip me with the necessary tools and techniques to apply my knowledge effectively in real-world scenarios.
I wanted a course devoted to learning concepts purely from a Quantitative point of view. I gave Quantra a chance to see if this is of value to me. I took up the Quantitative Portfolio Management course as I found it most relevant for me, and I have been enjoying it so far.
The biggest gain for me from this course is the explanation of the concepts, in the sense that it is another way of seeing this thing. I like courses like these which allow you to see things slightly differently. What I got from this course was the thinking and the technique behind making a model. The extra PDF documents provided were a bonus and I made sure I read them as again they allowed me to explore from a different point of view the concepts that I was already familiar with.
For a Quantitative Investment Analyst, thinking and brainstorming to make a model is more important than coding the model itself. This code really helped me understand the technique behind the model.
I have noticed other platforms focus more on implementation, but Quantra is more focused on explanation, which is exactly what I was looking for. For example, Modern Portfolio Theory is not explained on any other platform, the way Quantra has done. Others show how to code the model, while Quantra actually spends time explaining it.
A smart quant is someone who is able to influence an investment decision by backing it up with data and backtesting results. I think Quantra courses will definitely help users become smart quants.
We are humbled by your words, Esuabom. Thank you. It is a pleasure to have been there, providing you with the apt learning resources and guidance that have been able to direct your learning. We wish you the best for your future.
Quantitative Portfolio Management is recommended for those who wish to construct their portfolio quantitatively, generate returns and manage risks effectively. In this course, you will learn different portfolio management techniques such as Factor Investing, Risk Parity and Kelly Portfolio, and Modern Portfolio Theory. For those aspiring to start, enroll now!
Disclaimer: In order to assist individuals who are considering pursuing a career in algorithmic and quantitative trading, this success story has been collated based on the personal experiences of a student from Quantra. Success stories are for illustrative purposes only and are not meant to be used for investment purposes. The results achieved post completion of the Quantra course(s) may not be uniform for all individuals.
