Blog
Discover the latest product updates, resources, tutorials and insights for quantitative investment practitioners right here.
Unleash Alpha: Investment Tech Leaders on Data-Driven Decisions
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...
SFS Attends Boston Fintech Week 2023
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...
Break Down Data Barriers with SFS Consulting
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...
Supercharge Your Python Applications with Quotient
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,...
SFS’ Quble: The Next-Gen Python Library Simplifying Financial Time-Series Computations at Scale
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...
Quotient now integrates Sigma Computing
We all know that making better informed, data-driven decisions is critical for investment finance success. This is proven by the ever-growing demand for more sophisticated, easy-to-use tools to handle, visualize, and analyze vast amounts of data. In response to this,...
Snowflake and Kipi Webinar Video
Recently, Scientific Financial Systems’ founder Peter Millington participated in a timely one hour webinar on leveraging the power of Snowflake’s Snowpark for Python, with an emphasis on applications in Financial Analytics. Sharing the stage with Pete for this event...
Snowflake Summit 2023: New Features for Financial Analytics
As a proud partner of Snowflake, we at Scientific Financial Systems (SFS) were pleased to attend the 2023 Snowflake Summit from June 26- 29 in Las Vegas. At Summit, we joined other data professionals, investment management practitioners, and technology enthusiasts to...
Maximizing Coding Efficiency with AI: A Week in Review
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...
Unlocking the Power of Snowpark for Python: Accelerating Financial Analytics
On Wednesday, May 31, 2023, at 12:00 PM ET, Scientific Financial Systems founder Pete Millington will be co-hosting a one-hour Webinar on the benefits of leveraging Snowflake’s Snowpark for Python to empower Financial Analysts, with SFS development partners...
Machine Learning in Quant Investing – 01: Overview
So much has been written lately about the integration of Quantitative Investing and Machine Learning. Are you wondering about whether to apply ML to your investment process or feel like your team isn’t progressing fast enough? We hope that our new blog series on...
Innovative Insights: CQA Spring Conference 2023 Takeaways
Takeaways from the CQA Spring Conference 2023 by Peter Millington, Founder and CTO of Scientific Financial Systems (SFS) Peter Millington, founder, and CTO of SFS, recently attended the 2023 CQA Spring Conference in Las Vegas. This annual event brings together top...
Discover the future of financial data analysis
Watch a demonstration of Quotient™, our flagship financial data analysis product.
