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 Rakesh delved into the pivotal role technology plays in driving business success within the complex landscape of today’s financial markets. To continue delivering outperformance, financial services, companies must now navigate ..read more

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 to a thriving fintech ecosystem, with over 500 startups and established companies operating in the space. Boston is also a major hub for fintech investment, with over $1 billion invested in ..read more

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 vendor sources, and/or migrate to a new platform – like Snowflake? With our experienced team by your side, we can ensure a smooth transition. Data Normalization and Cleansing: Clean and well-structured data is the cornerstone of informed invest ..read more

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 algorithms Quble is a revolutionary Python-based engine meticulously designed for quantitative finance analysis. Quble’s prowess is partially achieved by running natively atop Snowflake’s innovative Snowpark platform. Quble extends Snowpark’s functionality to create a highly scalable and performant financial data analytics infr ..read more

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, Scientific Financial Systems (SFS) announces the integration of Sigma Computing’s powerful charting capabilities into their highly lauded Quotient Platform. With this integration,  financial professionals can harness the power of big data for more precise analytics. Sigma Computing is well-known for its advanced charting cap ..read more

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 were: Kesav Rayaprolu, Snowflake Sr, OSI Sales Engineer Sumit Bhatia, Kipi.bi SVP. Kipi is SFS’s key development partner Ilyas Mohammad, Kipi.bi Lead Engineer, currently working full-time with SFS Koi Stephanos, SFS Lead Engineer and manager of Quotient development Marc Lowenthal, SFS Chief Product Officer Key Take-Aways from t ..read more

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 explore the latest trends and innovations in data management and analytics. Snowflake did a tremendous job hosting a dynamic and thought provoking conference, and we learned from a variety of sessions on data engineering, data governance, machine learning, artificial intelligence, cloud computing, and advanced analytics. Experts ..read more

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 challenges and optimizing Python code. Here’s a look at the highlights. Simplifying Error Messages One of the key areas where AI has proven instrumental is in the interpretation and resolution of error messages. These messages can often be cryptic and difficult to decipher. AI has helped to break down these messages into understandable te ..read more

01 – Overview So much has been written lately about the integration of Quantitative Investing and Machine Learning. For anyone still thinking about whether to apply ML to their investment process or who feels like they aren’t progressing fast enough, we hope that our new series on applying Machine Learning algorithms will help you. In the next several blogs, we will: list the steps for getting started with using Machine Learning dive into more detail on the getting started steps discuss some of the more popular prediction algorithms show how to integrate these algorithms into a predictive mod ..read more

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 work together, and how to utilize this type of thinking in your life. Listen to the episode and view the show notes here. The post SFS Founder discusses Quantitative Analysis on the LifeBlood Podcast appeared first on Scientific Financial Systems ..read more