Unveiling the Dynamic Shift in the Build vs. Buy With 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 developed home-grown solutions to address their business needs. However, many...
By leveraging Snowflake’s native app framework, we’re ensuring that the Factor Scorecard will be not just a standalone tool, but a fully integrated part of your data analytics ecosystem. Your Input MattersAs we continue to develop and refine the Factor Scorecard, your feedback is invaluable. We’re eager to hear your...
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 essential for making informed decisions and gaining...
Scientific Financial Systems appreciates the power of Snowflake with the scalability, performance, and burstability that it offers our customers. With its recent Snowpark Container Services (SPCS) offering, Snowflake now provides even more value. The allure of SPCS lies not only in its promise of lower latency and enhanced security...
I was especially thrilled to participate in the Capstone Competition. I am pleased to announce that my novel tracking metric project, TrueImpactShotCharts, was selected as a winner and took home the popular vote! In this project, we created a unique model that leverages Voroni spatial diagrams and shot-region-specific rebound...
Scientific Financial Systems’ Founder and Chief Technology Officer Pete Millington sat down recently with Rakesh Reddy, Chief Technology Officer of Kipi.bi, to discuss how technology and data science continue to revolutionize investment management. Their recorded Fireside Chat is titled “Decision Making for Investment Management Professionals.” In this chat, Pete and...
Boston Fintech Week 2023, held October 10-14, was a fantastic celebration of the fintech industry in Boston. At SFS, Anne Millington, Christian Clay, Kathleen McCue and Peter Millington were fortunate to attend some interesting panels, workshops, and networking opportunities.Some of our key takeaways from the event:Boston is a global leader in fintech. The city is home...
Over the past year, Scientific Financial Systems has provided Consulting Services to a number of clients. Our experienced team of Quantitative Finance and Technology professionals are helping people like you in three critical areas:Data Integration or Migration Support:Are you planning to upgrade your investment research data infrastructure, add new...
Over the last 15 years, we’ve all seen Python mature into the language of choice for most quant developers and data scientists, thanks to its simplicity, versatility, and list of powerful third-party libraries. To that list, SFS is adding its brand-new Python library, which will allow users to programmatically...
Scientific Financial Systems’ flagship product Quotient™ provides an advanced analytical engine that simplifies data manipulation, factor building, backtesting, portfolio construction, and much more. Under the covers, SFS’s Quble technology powers Quotient’s financial algorithmsQuble is a revolutionary Python-based engine meticulously designed for quantitative finance analysis. Quble’s prowess is partially achieved...