Scientific Financial Systems Inc.

Scientific Financial Systems Inc.

Investment Management

Boston, Massachusetts 1,247 followers

Better Data Science, Better Investment Decisions: See Farther Faster

About us

Scientific Financial Systems, Inc. (SFS) is an entrepreneurial team of quantitative investment practitioners, portfolio managers, and data scientists determined to advance financial services technology.

Website
http://www.scifinsys.com
Industry
Investment Management
Company size
2-10 employees
Headquarters
Boston, Massachusetts
Type
Privately Held
Specialties
Quantitative Analysis, Quant Solutions, and Investment Management

Products

Locations

Employees at Scientific Financial Systems Inc.

Updates

  • View organization page for Scientific Financial Systems Inc., graphic

    1,247 followers

    kipi.ai has established itself as the ultimate experts in delivering cutting-edge AI solutions within the Snowflake platform, which is now recognized as the pre-eminent platform for the latest AI technologies. At SFS, we are thrilled to be strategic long-term partners of both Kipi and Snowflake, allowing us to benefit from their combined experience and acumen. SFS is now utilizing AI to extend the reach and power of our Quotient analytical platform. #Quotient + AI will enable users to perform complex financial analysis at a scale and speed never before possible. Combining new AI capabilities with the depth of Snowflake’s data cloud will unleash the full power of AI solutions to solve new and exciting problems. It’s not what AI does, but what AI does for us! With partners like Snowflake and Kipi.ai, SFS can cultivate and deliver next generation AI solutions for the investment management industry. https://lnkd.in/gZnUmx2Y #AITechnologies #AISolutions #PowerofQuotient #DataScience

    View profile for Jason Small, graphic

    CEO at kipi.ai

    I’m proud to announce the evolution of kipi.bi into kipi.ai. This transition is more than a rebrand—it represents our forward-thinking approach to AI and data science. Partnering with Snowflake's AI Data Cloud, we’re empowering our clients with advanced AI solutions that unlock unprecedented insights. Excited for the road ahead as we continue to lead in AI and analytics. Learn more about our rebrand here: https://lnkd.in/gydXHTaM #KipiAI #Rebrand #AI #Innovation #Snowflake

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  • 𝐇𝐚𝐩𝐩𝐲 𝐋𝐚𝐛𝐨𝐫 𝐃𝐚𝐲 𝐟𝐫𝐨𝐦 𝐚𝐥𝐥 𝐨𝐟 𝐮𝐬 𝐚𝐭 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬, 𝐈𝐧𝐜.! Today, we honor the hard work and dedication of the American workforce. We're grateful for the contributions of every individual who helps our company and our country thrive. Enjoy your well-deserved day off! #LaborDay #ThankYou #AmericanWorkforce

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  • In today's fast-paced technological landscape, the "𝐁𝐮𝐢𝐥𝐝 𝐯𝐬. 𝐁𝐮𝐲" decision has become more crucial than ever for investment management firms. With the rapid evolution of technology, businesses must carefully consider whether to develop in-house solutions or leverage third-party software to stay competitive and efficient. From aligning your business strategy to managing costs, timelines, and security, making the right choice can significantly impact your company's success. At Scientific Financial Systems, we understand the complexity of this decision. That's why we offer a comprehensive analytics core product and customizable solutions to meet your unique needs. Curious to learn more? Dive into the full article on our blog to explore how to navigate the "Build vs. Buy" dilemma effectively. Read more here: https://lnkd.in/gzgurFNH #BuildVsBuy #TechStrategy #BusinessGrowth #Innovation #InvestmentManagement #ScientificFinancialSystems #AI #MachineLearning #LowCodeNoCode

    Changing Face of Build vs. Buy - Scientific Financial Systems

    Changing Face of Build vs. Buy - Scientific Financial Systems

    https://scifinsys.com

  • View organization page for Scientific Financial Systems Inc., graphic

    1,247 followers

    𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐞 𝐘𝐨𝐮𝐫 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐰𝐢𝐭𝐡 𝐒𝐅𝐒' 𝐅𝐚𝐜𝐭𝐨𝐫 𝐒𝐜𝐨𝐫𝐞𝐜𝐚𝐫𝐝 Tired of complex financial analysis tools? We've got something game-changing for you! Introducing the Factor Scorecard - an intuitive, user-friendly application designed to simplify how you navigate market data. Powered by Snowflake and Streamlit, this cutting-edge tool empowers you to: ✅ Filter financial factors and indicators effortlessly ✅ Utilize Plotly's advanced charting capabilities for precision filtering ✅ Visualize market trends with candle charts and volume displays ✅ Access underlying data for in-depth analysis But that's not all! We're on an exciting journey to make the Factor Scorecard an indispensable tool for every financial professional. Imagine: ✅ An expanded library of factors ✅ New style groupings for even more streamlined analysis ✅ AI-driven insights and predictions with Snowflake Cortex ✅ Seamless integration with your existing Snowflake ecosystem Ready to transform your approach to market analysis? ➡️ Read more about the Factor Scorecard on our blog: https://lnkd.in/gBxF6_8i ➡️ Message us to schedule a personalized demo today and see the power of the Factor Scorecard in action! #FinancialAnalysis #Snowflake #Streamlit #Innovation #FactorScorecard

    Factor Scorecard Unveiled: Decoding Quotient’s Performance - Scientific Financial Systems

    Factor Scorecard Unveiled: Decoding Quotient’s Performance - Scientific Financial Systems

    https://scifinsys.com

  • 𝗚𝗲𝘁 𝗮𝗻 𝗶𝗻𝘀𝗶𝗱𝗲𝗿 𝘃𝗶𝗲𝘄 𝗼𝗳 𝗦𝗙𝗦’ 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝘃𝗲 𝗤𝘂𝗯𝗹𝗲 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 for Python data modeling with our Quble Overview. This new paradigm for modern data science offers: ✅ Localized, co-located computation ✅ Implicit translation of intuitive Python modeling directives to SQL commands ✅ Alleviation of Python in-memory limitations ✅ Elimination of network overhead for data migration between SQL & Python ✅ Improved security and data governance (the data stays in the user database) ✅ Abstraction of details management and data staging/preparation ✅ Automated persistence of calculated results Our Quble supports use cases across verticals. Contact SFS to find out how Qubles can accelerate your data science solutions! 👉𝗙𝗼𝗹𝗹𝗼𝘄 𝗦𝗙𝗦 𝗼𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 for exclusive insights, updates, and real-world applications of Quble technology. 👉𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝗦𝗙𝗦 today to discover how Quble can transform your data science workflow. 𝗖𝗢𝗡𝗧𝗔𝗖𝗧 𝗨𝗦 𝗡𝗢𝗪! #Quble #DataScience #Python #DataModeling #Innovation #SFS

  • 𝗦𝗙𝗦 𝗶𝘀 𝗲𝘅𝗰𝗶𝘁𝗲𝗱 𝘁𝗼 𝗼𝗳𝗳𝗲𝗿 𝗤𝘂𝗼𝘁𝗶𝗲𝗻𝘁 𝗼𝗻 𝘁𝗵𝗲 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 𝗠𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲 𝗮𝘀 𝗮 𝗡𝗮𝘁𝗶𝘃𝗲 𝗔𝗽𝗽! Using Snowflake Container Services, #Quotient will be co-located with your data in your Snowflake account. With this approach, you have the added security of having your data and compute all in one place. With this new architecture, you get: ✅ 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: 𝗪𝗶𝘁𝗵 𝗱𝗮𝘁𝗮 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝘂𝘁𝗲 𝗰𝗼-𝗹𝗼𝗰𝗮𝘁𝗲𝗱, 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗿𝗲𝘁𝘂𝗿𝗻 𝗲𝘃𝗲𝗻 𝗳𝗮𝘀𝘁𝗲𝗿 𝗼𝗻 𝘁𝗵𝗲 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 𝗗𝗮𝘁𝗮 𝗖𝗹𝗼𝘂𝗱 ✅ 𝗔𝗱𝗱𝗲𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: 𝗧𝗮𝗸𝗲 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 𝗼𝗳 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲’𝘀 𝗮𝗱𝗱𝗲𝗱 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗯𝗼𝘃𝗲 𝗮𝗻𝗱 𝗯𝗲𝘆𝗼𝗻𝗱 𝗶𝘁𝘀 𝗯𝗲𝘀𝘁-𝗶𝗻-𝗰𝗹𝗮𝘀𝘀 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗽𝗿𝗼𝗰𝗲𝗱𝘂𝗿𝗲𝘀 𝘄𝗶𝘁𝗵 𝗶𝘁𝘀 𝗼𝘁𝗵𝗲𝗿 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀.  ✅ 𝗘𝘃𝗲𝗻 𝗙𝗮𝘀𝘁𝗲𝗿 𝗜𝗻𝘀𝘁𝗮𝗹𝗹𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: 𝗚𝗲𝘁 𝗺𝗼𝗿𝗲 𝗼𝘂𝘁 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗾𝘂𝗶𝗰𝗸𝗹𝘆 𝗮𝗻𝗱 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁𝗹𝘆 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗡𝗮𝘁𝗶𝘃𝗲 𝗔𝗽𝗽 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻! ✅ 𝗔𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝗮𝗹𝗹 𝗼𝗳 𝗤𝘂𝗼𝘁𝗶𝗲𝗻𝘁’𝘀 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝘁𝗼𝗼𝗹 𝗸𝗶𝘁: 𝗬𝗼𝘂 𝘄𝗶𝗹𝗹 𝗵𝗮𝘃𝗲 𝗮𝗹𝗹 𝗼𝗳 𝗤𝘂𝗼𝘁𝗶𝗲𝗻𝘁’𝘀 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴 𝗼𝘂𝗿 𝗕𝗮𝗰𝗸𝘁𝗲𝘀𝘁𝗲𝗿, 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗲𝗿, 𝗮𝗻𝗱 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀 𝗮𝗹𝗹 𝘄𝗶𝘁𝗵𝗶𝗻 𝘁𝗵𝗲 𝗡𝗮𝘁𝗶𝘃𝗲 𝗔𝗽𝗽 𝗺𝗼𝗱𝗲𝗹. Discover how you can get to alpha faster with tools created by leading Quantitative Analysts and Data Scientists from SFS. 𝗔𝘀 𝗮 𝘀𝗽𝗲𝗰𝗶𝗮𝗹 𝗼𝗳𝗳𝗲𝗿, 𝗦𝗙𝗦 𝘄𝗶𝗹𝗹 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝘂𝗽 𝘁𝗼 $𝟴𝟬𝟬 𝗶𝗻 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 𝗰𝗿𝗲𝗱𝗶𝘁𝘀 𝗮𝘀 𝗽𝗮𝗿𝘁 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗤𝘂𝗼𝘁𝗶𝗲𝗻𝘁 𝗼𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴. Contact us at +𝟭 (𝟲𝟭𝟳) 𝟲𝟳𝟱-𝟱𝟰𝟳𝟳 or email us 𝗶𝗻𝗳𝗼@𝘀𝗰𝗶𝗳𝗶𝗻𝘀𝘆𝘀.𝗰𝗼𝗺 to find out how you can discover the added benefits of Quotient on the Native App! #snowflakecontainerservices #snowflakenativeapp #snowflakedatacloud

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  • 𝐋𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐡𝐨𝐰 𝐒𝐅𝐒 𝐢𝐬 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐜𝐡𝐚𝐫𝐠𝐞 𝐢𝐧 𝐛𝐢𝐠 𝐝𝐚𝐭𝐚-𝐝𝐫𝐢𝐯𝐞𝐧 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧. 𝐁𝐢𝐠 𝐝𝐚𝐭𝐚 is transforming the financial industry, empowering smarter decision-making and driving innovation. At Scientific Financial Systems (SFS), we harness the power of big data to enhance risk management, fraud detection, and customer experiences. Our AI-powered platform, Quotient, analyzes vast datasets to uncover hidden patterns and generate actionable insights. This enables financial institutions to optimize portfolio performance, mitigate risk, and develop innovative trading strategies. We believe that big data holds the key to a more efficient, transparent, and equitable financial future. Read more at https://lnkd.in/gDGhC8Kt #BigData #Fintech #AI #SFS #Quotient

    Unlocking the Power of Big Data in Modern Finance: How SFS is Leading the Charge - Scientific Financial Systems

    Unlocking the Power of Big Data in Modern Finance: How SFS is Leading the Charge - Scientific Financial Systems

    https://scifinsys.com

  • 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐞 𝐘𝐨𝐮𝐫 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 𝐰𝐢𝐭𝐡 𝐒𝐅𝐒 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐢𝐧𝐠 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬! Tired of hitting roadblocks in your data analysis? Struggling to turn data into actionable insights? 𝐒𝐅𝐒 𝐢𝐬 𝐡𝐞𝐫𝐞 𝐭𝐨 𝐜𝐡𝐚𝐧𝐠𝐞 𝐭𝐡𝐞 𝐠𝐚𝐦𝐞. We empower institutions and investors like you to break down data barriers and unlock a new level of decision-making. Our team of seasoned experts specializes in: • 𝐂𝐮𝐬𝐭𝐨𝐦 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐌𝐚𝐬𝐭𝐞𝐫 & 𝐄𝐧𝐭𝐢𝐭𝐲 𝐈𝐃 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 • 𝐃𝐚𝐭𝐚 𝐍𝐨𝐫𝐦𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐂𝐥𝐞𝐚𝐧𝐬𝐢𝐧𝐠 • 𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 • 𝐁𝐞𝐬𝐩𝐨𝐤𝐞 𝐐𝐮𝐚𝐧𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 & 𝐀𝐥𝐩𝐡𝐚 𝐌𝐨𝐝𝐞𝐥 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 • 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐖𝐡𝐲 𝐜𝐡𝐨𝐨𝐬𝐞 𝐒𝐅𝐒? We're not just consultants; we're former buy-side quant practitioners who understand the challenges you face. We leverage advanced techniques like machine learning and our proprietary Quble technology to deliver tailored solutions. Ready to transform your investment approach? 👉 Learn more about SFS Consulting Services and unlock the true value of your data. https://lnkd.in/gY2bgrPu Let's see farther, faster. Together. #SFS #FinTech #DataScience #InvestmentStrategies #ConsultingServices

    Consulting Services - Scientific Financial Systems

    Consulting Services - Scientific Financial Systems

    https://scifinsys.com

  • 𝐀 𝐡𝐮𝐠𝐞 𝐜𝐨𝐧𝐠𝐫𝐚𝐭𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 Koi Stephanos, 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐚𝐭 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬, 𝐨𝐧 𝐡𝐢𝐬 𝐮𝐩𝐜𝐨𝐦𝐢𝐧𝐠 𝐩𝐨𝐬𝐭𝐞𝐫 𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐚𝐭 𝐂𝐀𝐒𝐒𝐈𝐒 𝟐𝟎𝟐𝟒! His solo project on National Basketball Association (NBA) game 'personality types' sounds fascinating, and it's impressive to see him applying 𝐜𝐥𝐮𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬 and the 𝐟𝐩𝐠𝐫𝐨𝐰𝐭𝐡 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦 (𝐟𝐫𝐞𝐪𝐮𝐞𝐧𝐭 𝐩𝐚𝐭𝐭𝐞𝐫𝐧 𝐦𝐢𝐧𝐢𝐧𝐠 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦) to uncover key success indicators. Koi's dedication to sharing his work is commendable, as he's made his code and data available on GitHub. This kind of openness not only fosters collaboration but also showcases his expertise in #SportsAnalytics and #DataScience. We have no doubt that his presentation at CASSIS 2024 will be a valuable contribution to the field. Best of luck, Koi, and enjoy City of Vancouver! #CASSIS2024 #NBA

    View profile for Koi Stephanos, graphic

    Basketball Software Engineer, Charlotte Hornets

    Thrilled to announce my upcoming poster presentation at CASSIS 2024 in Vancouver this September. This marks my first solo project publication, focusing on NBA game 'personality types' using clustering techniques. The research explores categories like 'slugfest' and 'trackmeet', and employs the fpgrowth algorithm to identify key success indicators for each type. For those interested, the code and data are available on GitHub: https://lnkd.in/dJgnGYYF CASSIS (Cascadia Symposium on Statistics in Sports), organized by Luke Bornn, is a prestigious gathering of sports analytics professionals and academics. I'm honored to contribute to this year's event, scheduled for September 21, 2024, at SFU Harbour Center. #SportsAnalytics #DataScience #CASSIS2024 #NBA

    GitHub - dkStephanos/nba_game_personality_clusters: An unsupervised learning project focused on constructing and examining the various personality types of games played in the NBA, and the key indicators of performance for those game types.

    GitHub - dkStephanos/nba_game_personality_clusters: An unsupervised learning project focused on constructing and examining the various personality types of games played in the NBA, and the key indicators of performance for those game types.

    github.com

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