Unveiling the Dynamic Shift in the Build vs. BuyWith technology serving as a key building block for business success, investment management firms large and small must carefully evaluate decisions around building vs. buying software. In the past, many companies...
At Scientific Financial Systems (SFS), we believe that big data is the key to unlocking new opportunities and driving innovation in the financial industry. In today's fast-paced and complex markets, the ability to gather, process, and analyze vast amounts of data is...
Introduction In the ever-evolving landscape of software development, artificial intelligence (AI) is increasingly playing a pivotal role. Over the past week, we've leveraged AI to enhance the coding process, providing invaluable assistance in tackling complex...
At Scientific Financial Systems, we have mapped a lot of vendor data into Quotient – mostly from MS SQL Server databases. With the ever-growing popularity of Snowflake, vendors are releasing versions of their data products on this highly scalable, performant, and...
During our time in Quant Finance, regression analysis was generally the best tool we had for determining the effectiveness of factors and models. We at SFS, we were especially comfortable performing regressions when the relationship between our variables was clearly...
In 2020 and 2021 quant funds have had a tough time of it, as algorithms struggled to navigate the whipsaw conditions created by the pandemic and has managers revisiting the Person + Machine question. The pandemic has led to significant dispersion of returns, with many...
Watch a demonstration of Quotient™, our flagship financial data analysis product.
