Blog
Why Should We Consider the Use of Machine Learning in Quantitative Finance?
During my time in Quant Finance, regression analysis was generally the best tool I had for determining the effectiveness of factors and models. I was especially comfortable performing regressions when the relationship between my variables was clearly linear, my...
Peter Millington Attends the Snowflake Data for Breakfast
In today’s fast-paced business environment, data is more valuable than ever. Companies are looking for ways to extract meaningful insights from their data to gain a competitive edge. To do so, they need a robust data warehousing solution that can support their data...
It All Started with a Quble
In our last SFS blog, we talked about how the technical challenges in the performance and scaling of our Quotient architecture were solved through the integration of our backend with Snowflake’s Snowpark for Python. We called Snowpark a “game changer” for developers...
Houston, We Had a Problem
Scientific Financial Systems (SFS) knew that in Quotient™ we developed a powerful and flexible Python-based data science SaaS application that could improve the effectiveness of quant finance teams. Our careers in Quant research and fund management led us to...
Differentiate Your Next Investment Study
Get Started with Quotient’s Screener Builder Module Tutorial It is a sound practice to think about which general stock universe you are interested in before bringing in excess data and potential noise to your stock selection process or study. You might unintentionally...
SFS Founder discusses Quantitative Analysis on the LifeBlood Podcast
Pete Millington, CFA, founder, and chief technology officer of Scientific Financial Systems, recently appeared on the LifeBlood Podcast to discuss quantitative analysis, how to curate the right data for investment management, how quantitative and qualitative analysis...
SFS AND Refinitiv: Spend more time on research and developing models with read-to-use data and Python-based factor construction. No SQL coding required
By Colin Longval SFS is excited to announce that it has partnered with Refinitiv, the global provider of financial market data and infrastructure. The integration of SFS’ flagship product Quotient™ with Refinitiv Quantitative Analytics (RQA) reduces data management...
Market Conversations: Analytic Tools in Finance
Transitioning to Quotient™
Firms cannot grow without change. Likewise, personal career growth cannot be achieved without change. Key questions to consider when planning to transition to Quotient™. 1) What are your existing data sources? 2) If Quotient™ has not pre-mapped your data source, does...
Are you ready to manage change in your organization?
Change is difficult and uncomfortable. However, it can backfire and lead to costly disruptions rather than a smooth transition to an improved work environment if mismanaged. Change in an organization leads to many positive aspects – that lead to retaining a...
Quotient™ Business Value Proposition
Value Statement Quotient™ provides modern, efficient, and powerful analysis combined with simplified access to a wide array of financial content. With Quotient™, investment managers can develop differentiated investment strategies using novel python-based tools and...
Getting Started With Quotient™ Easy
Quotient’s Getting Started Tutorial introduces key elements to using Quotient. The Getting Started Tutorial shows new users how to start Quotient from the Home Page and to use the Navigation and Ribbon Pages. The tutorial displays shared data from sources like IBES,...
Discover the future of financial data analysis
Watch a free demonstration of Quotient™, our flagship financial data analysis product.