Better Data Science,
Better Investment Decisions
Scientific Financial Systems, Inc. is an entrepreneurial team of quantitative investment practitioners and data scientists determined to advance investment technology.
New Alpha
Our flagship product Quotient™ focuses on generating new alpha using data science innovations.
Productivity
Supports productivity improvements and identification of new insights for Portfolio Managers and Quantitative Analysts.
Powered by Snowflake
Quotient™ partners with and integrates with some of the largest global financial data providers and provides an advanced analytical engine for data manipulation, factor building, back-testing and portfolio construction.
“Quotient™ will unlock significant efficiency gains for your business, one of the most sophisticated index development platforms available today… We will use Quotient to rapidly source, transform and aggregate point-in-time factors across a broad range of sectors and regions.”
Simon Whitten, Director of Research at Syntax Indices
Implementing Scientific Financial’s Quotient™ will provide your Firm with Significant Economic Benefits:
Improve Research Team Effectiveness
We all know that the best research teams have high levels of collaboration to help reduce risk. Quotient™ was designed to allow your team to share the same platform to promote transparency and standardization of formulas and approaches.
- Users share a common research platform
- Promotes Collaboration
- Reduces Single Person Risk
- Makes Transparency and Standardization of Formulas easy
More time on research and developing quantitative models
Spend less time developing your research architecture and more time on generating research output and actionable quantitative models. Use a solution built by practitioners with a track record of success.
- End-to-end research workflow
- Define derived data items
- Build screens and multi-level models
- Extensively backtest and forecast using advanced machine learning techniques to enhance alpha
- Leverage factor examples and tutorials to get users working quickly
Effectively Integrate Vendor and Internal data source
Newly acquired data sources can be quickly integrated and ready for use. Vendor and platform agnostic data sourcing allows seamless integration into models.
- Supports sql, cloud sources such as snowflake, csv files, excel and more
- Data standardized for frequency, currency, and corporate actions
- Data presented in an organized and self-documented manner
- Supports point-in-time data sources for improved predictive power
Latest Articles & Insights
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...
Accelerate your research
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Discover the future of financial data analysis
Watch a free demonstration of Quotient™, our flagship financial data analysis product.