I am new in the financial sector and I am currently trying to learn the basic in database and data management.
I wanted to ask you what database does financial company use or how they process large amount of data ? What tools they use ?
Especially in the quantitative analysis or quant job.
Thanks in advance for the answers
There are of course many approaches to data storage and analysis. There's no single approach. However, here's what I have seen. It's a two step process.
First, get the data. Ingesting and storing data is done up front often by a dedicated group of software engineers (Quantopian has a team for this). If one has a small quant group (or even just an individual) this still is a separate step. This isn't typically considered a 'quant job' but rather a 'data engineer'. There are a number of platforms but common ones are 1) relational databases 2) flat files, and more recently 3) a number of cloud based solutions such as AWS Data Lakes . One aspect of financial data is that it's typically time series and typically fetched across contiguous dates. Relational databases, while ubiquitous and mature, are designed to fetch random pieces of data. They aren't generally optimized to fetch streams of contiguous data by date.
Second, analyze and use the data. Once data is stored and organized it's manipulated by 'quants'. Python is a widely used platform for this step (Quantopian of course is based on Python so I'm biased). The key feature which has made this popular in fintech is its extensibility. Basic Python (that one would learn in a Python 101 class) by itself isn't all that helpful. The power to easily analyze large chunks of data comes from using packages such as Pandas, NumPy, SciPy, and Matplotlib (for visualization). Those are the tools that quite a few quants use on a day to day basis.
Just my 2-cents.
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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian.
In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.
