Scientific Financial Systems Inc.

Scientific Financial Systems Inc.

Investment Management

Boston, Massachusetts 1,098 followers

Better Data Science, Better Investment Decisions

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

  • 𝐖𝐞 𝐜𝐚𝐧𝐧𝐨𝐭 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐢𝐭 𝐡𝐚𝐬 𝐛𝐞𝐞𝐧 𝐭𝐰𝐨 𝐰𝐞𝐞𝐤𝐬 𝐬𝐢𝐧𝐜𝐞 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐨𝐨𝐤 𝐭𝐡𝐞 𝐬𝐭𝐚𝐠𝐞 𝐚𝐭 𝐭𝐡𝐞 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐒𝐭𝐚𝐫𝐭 𝐔𝐩 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 What an incredible experience competing alongside BigGeo and SignalFlare.ai in front of a panel of esteemed judges at Snowflake Dev Day in San Francisco. This challenge has been an amazing opportunity to showcase how SFS is revolutionizing financial data management and analysis with the power of Snowflake's Data Cloud. Huge thanks to Snowflake for this platform, and congratulations SignalFlare.ai and to all the startups who participated. We are inspired by the innovative solutions being built on Snowflake! 𝐖𝐚𝐭𝐜𝐡 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐯𝐢𝐝𝐞𝐨 𝐨𝐟 𝐓𝐡𝐞 𝐖𝐢𝐧𝐧𝐞𝐫 𝐎𝐟 𝐓𝐡𝐞 𝟐𝟎𝟐𝟒 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐝 𝐃𝐮𝐫𝐢𝐧𝐠 𝐅𝐢𝐧𝐚𝐥𝐞 𝐄𝐯𝐞𝐧𝐭 𝐚𝐭 𝐃𝐞𝐯 𝐃𝐚𝐲. https://lnkd.in/gCiAgvUA Peter Millington Anne Millington Marc Lowenthal Koi Stephanos Kathleen McCue Christian Clay Julius Sison Rakesh Reddy Velidandla Claire Walton Alfredo ("Dino") DeAngelis Ruben Falk #SnowflakeStartupChallenge #SFS #DataCloud #FinancialInnovation

  • 𝐅𝐫𝐨𝐦 𝐁𝐚𝐬𝐤𝐞𝐭𝐛𝐚𝐥𝐥 𝐂𝐨𝐮𝐫𝐭𝐬 𝐭𝐨 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐬: 𝐇𝐨𝐰 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐃𝐫𝐢𝐯𝐞𝐬 𝐖𝐢𝐧𝐧𝐢𝐧𝐠 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 Our Development Manager Koi Stephanos has a passion for data. He recently won the Capstone Competition of the National Basketball Association (NBA) 𝐅𝐮𝐭𝐮𝐫𝐞 𝐒𝐭𝐚𝐫𝐬. The bottom line is that data science is driving improvements in analytics across verticals and that data science themes can improve analytics from basketball to finance and beyond. Read the full blog post on our website: https://lnkd.in/ghP_DUdp #DataScience #DataAnalytics #NBAFutureStars #TrueImpactShotCharts

    From Basketball Courts to Financial Models: How Data Science Drives Winning Analytics - Scientific Financial Systems

    From Basketball Courts to Financial Models: How Data Science Drives Winning Analytics - Scientific Financial Systems

    https://scifinsys.com

  • What a week at 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐒𝐮𝐦𝐦𝐢𝐭 for SFS! We attended key notes, breakout sessions and happy hours, and we had the opportunity to meet and connect in-person with many colleagues and new friends. The week for us culminated in our competition in the Snowflake Start Up Grand Finale, alongside SignalFlare.ai and BigGeo. We offer our congratulations to SignalFlare for winning the grand prize. We remain pleased to be one of the top 3 Finalists, as with this status comes with up to $250,000 of funding from Snowflake Ventures and mentorship from the NYSE, and go-to-market opportunities with Snowflake. Many thanks to the judges Benoit Dageville, Brad Gerstner, Lynn Martin, and Denise Persson. In terms of additional learnings from the conference, we paid special attention to the considerations around AI and new applications to the investment management industry. As a matter of fact, Snowflake is now referencing their platform as the “𝐀𝐈 𝐃𝐚𝐭𝐚 𝐂𝐥𝐨𝐮𝐝.” With Snowflake, it is now easy to train your own LLMs to solve targeted problems, and add value with new and powerful capabilities. Snowflake’s new 𝐂𝐨𝐫𝐭𝐞𝐱 𝐀𝐈 solutions will power the next generation of AI applications. We are proud to be a Snowflake partner, as with Snowflake, SFS can offer creative use of Snowflake’s newest features, such as: 𝐈𝐜𝐞𝐛𝐞𝐫𝐠 𝐓𝐚𝐛𝐥𝐞𝐬, 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐓𝐚𝐛𝐥𝐞𝐬, and 𝐏𝐨𝐥𝐚𝐫𝐢𝐬 𝐂𝐚𝐭𝐚𝐥𝐨𝐠. We’re up and running on 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬, and looking forward to deploying Quotient as a 𝐍𝐚𝐭𝐢𝐯𝐞 𝐀𝐩𝐩 in the 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐌𝐚𝐫𝐤𝐞𝐭𝐩𝐥𝐚𝐜𝐞. Quotient and Snowflake are a powerful combination. #SnowflakeSummit2024 #SnowflakeStartupChallenge2024Finale #AIDataCloud #CortexAI #IcebergTables #DynamicTables #PolarisCatalog

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  • We are super-charged to be at the 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 𝗦𝘂𝗺𝗺𝗶𝘁 𝟮𝟬𝟮𝟰 this week. It has been great to connect with amazing members of the Snowflake team, including Bryan Lenker, CFA. We’re excited to be learning about the new tools and features that Snowflake is rolling out, including 𝗖𝗼𝗿𝘁𝗲𝘅 𝗔𝗜 and 𝗔𝗿𝗰𝘁𝗶𝗰 𝗧𝗮𝗯𝗹𝗲𝘀. In the photo, left to right: Christian Clay, Quantitative Software Engineer at SFS, Anne Millington, CEO at SFS, Bryan Lenker, CFA, Financial Services Field CTO at Snowflake, Kathleen McCue, Director of Program Management at SFS, and Peter Millington, Founder and CTO at SFS. #SnowflakeSummit2024 #CortexAI #ArcticTables #SnowflakeStartupChallenge2024 #Top3Finalist

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  • 𝐂𝐨𝐧𝐠𝐫𝐚𝐭𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐊𝐨𝐢 𝐒𝐭𝐞𝐩𝐡𝐚𝐧𝐨𝐬, 𝐨𝐮𝐫 𝐥𝐞𝐚𝐝 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐟𝐨𝐫 𝐰𝐢𝐧𝐧𝐢𝐧𝐠 𝐭𝐡𝐞 𝐂𝐚𝐩𝐬𝐭𝐨𝐧𝐞 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 National Basketball Association (NBA) 𝐅𝐮𝐭𝐮𝐫𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐒𝐭𝐚𝐫𝐬 𝐅𝐞𝐥𝐥𝐨𝐰𝐬𝐡𝐢𝐩 𝐏𝐫𝐨𝐠𝐫𝐚𝐦! Koi not only learned from the best and brightest minds in basketball analytics, but also made a significant impact with his winning project, TrueImpactShotCharts. This innovative model combines spatial analysis with rebounding data to give a more complete picture of player shot selection. Koi's dedication and passion for data-driven solutions truly shine through. Congratulations on this well-deserved recognition, Koi! We can't wait to see where your talent and creativity take you next. #SFSDataScience #NBAAnalytics #TrueImpactShotCharts #DataDrivenBasketball #ProudOfOurTeam

    View profile for Koi Stephanos, graphic

    Lead Data Engineer & Amateur NBA Analyst

    I recently concluded the National Basketball Association (NBA) Future Analytics Stars fellowship program. I had a tremendous time learning from experts in the league office and with various teams about all the ways data and basketball are growing together. I was especially thrilled to participate in the capstone competition, and pleased to announce 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 distributions to augment traditional point-per-possession projections with expected offensive rebounding value, and fed that into topographical shot charts to provide a fuller context to player shot-selection decisions. It was an absolute blast to get to work with current tracking data, and a privilege to be part of such an exciting and brilliant cohort of young professionals. Can't wait to see where we all end up and what's in store for basketball analytics in the years to come! p.s. go check out my repo/slides if you want to collaborate... or just talk hoops

    GitHub - dkStephanos/TrueImpactShotCharts: Integrating Rebounds and Transition Dynamics into NBA True Shot Value Analysis

    GitHub - dkStephanos/TrueImpactShotCharts: Integrating Rebounds and Transition Dynamics into NBA True Shot Value Analysis

    github.com

  • 𝐔𝐧𝐥𝐞𝐚𝐬𝐡 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐐𝐮𝐨𝐭𝐢𝐞𝐧𝐭'𝐬 𝐁𝐚𝐜𝐤𝐭𝐞𝐬𝐭𝐞𝐫 𝐌𝐨𝐝𝐮𝐥𝐞 For Quantitative Researchers and Portfolio Managers, finding the right investment strategy is crucial to achieving alpha. With Quotient’s Backtester Module, powered by SFS’ proprietary #Quble engine, historical data, and advanced mathematical models, users can simulate the performance of investment strategies and get to alpha faster. Here’s why you should take a closer look: 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: ✅ 𝐑𝐞𝐯𝐢𝐞𝐰 𝐇𝐢𝐬𝐭𝐨𝐫𝐢𝐜𝐚𝐥 𝐃𝐚𝐭𝐚: Access deep-history corporate and market data, including Point-In-Time data. ✅ 𝐀𝐬𝐬𝐞𝐬𝐬 𝐅𝐚𝐜𝐭𝐨𝐫𝐬: Choose from 300+ pre-built factors or create your own using the Factor Builder. ✅ 𝐒𝐞𝐥𝐞𝐜𝐭 𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐞: Use predefined or custom analysis universes via the intuitive Screener. ✅ 𝐀𝐬𝐬𝐞𝐬𝐬 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞: Evaluate model effectiveness using returns, information ratios, and draw-downs. ✅ 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Analyze clear visualizations of factor performance and efficacy. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: ✅ Variable rebalancing frequencies ✅ Alpha signal delays and staggering ✅ Seasonal studies or specific date ranges ✅ Multi-factor and cross-correlation analysis With #Quotient’s Backtester Module, you can automate data management and time-series operations so that you can focus on idea generation and identifying unique market insights. 𝐒𝐭𝐚𝐲 𝐭𝐮𝐧𝐞𝐝 𝐟𝐨𝐫 𝐨𝐮𝐫 𝐧𝐞𝐱𝐭 𝐝𝐞𝐦𝐨, where we explore non-numeric alpha classifications and multi-factor backtest studies! #Backtesting #QuantitativeResearch #InvestmentStrategies #PortfolioManagement

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    1,098 followers

    This is history in the making for SFS! From over 900 entries from different parts of the world, we have been named one of the Top 3 Finalists to compete for the Grand Prize for the $1M Snowflake Startup Challenge 2024. We revolutionized data analysis with our Quotient app by integrating the cutting-edge technology of the Snowflake Data Cloud. Once again, a gigantic thank you to #Snowflake for this opportunity! And again, thank you to our development partner kipi.bi, the Snowflake Partner of the Year. We look forward to competing for the grand prize at the Snowflake Summit in San Francisco, CA on June 6. We hope to win the grand prize and ring the NYSE bell! Peter Millington Anne Millington Marc Lowenthal Rakesh Reddy Velidandla Kathleen McCue Koi Stephanos Christian Clay Julius Sison Alfredo ("Dino") DeAngelis Ruben Falk Claire Walton Josh Feldman Ryan Saunders. #top3finalist #snowflakestartupchallenge #quotient

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

    1,098 followers

    We are truly honored to be part of the Top 10 Finalists for the Snowflake Startup Challenge 2024. Thanks NYSE for featuring us on your video. #top10finalist #snowflakestartupchallenge2024 #nyse

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    1,098 followers

    𝐁𝐫𝐞𝐚𝐤 𝐃𝐨𝐰𝐧 𝐃𝐚𝐭𝐚 𝐁𝐚𝐫𝐫𝐢𝐞𝐫𝐬 𝐚𝐧𝐝 𝐌𝐚𝐤𝐞 𝐁𝐞𝐭𝐭𝐞𝐫 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐢𝐧𝐠 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐟𝐫𝐨𝐦 𝐒𝐅𝐒 Are you struggling to unlock the true value of your data? At SFS, our #Consulting team of experienced Quantitative Finance and Technology professionals can help you transform your data infrastructure and empower data-driven decision-making. We offer a range of services to tackle your critical data challenges: ◘𝐂𝐮𝐬𝐭𝐨𝐦 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐌𝐚𝐬𝐭𝐞𝐫 𝐚𝐧𝐝 𝐄𝐧𝐭𝐢𝐭𝐲 𝐈𝐃 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬:  Our team will work with you to evaluate and optimize the security master based on your subscriptions and internal security identifiers. ◘𝐃𝐚𝐭𝐚 𝐍𝐨𝐫𝐦𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐂𝐥𝐞𝐚𝐧𝐬𝐢𝐧𝐠:  Get your data squeaky clean and ready for analysis. Our experts can transform even the most disparate financial datasets. ◘𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠:  Turn data into actionable insights. We are experts in data visualization tools and leverage Machine Learning to build predictive models and develop customized reports for clear communication. ◘𝐁𝐞𝐬𝐩𝐨𝐤𝐞 𝐐𝐮𝐚𝐧𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐚𝐧𝐝 𝐀𝐥𝐩𝐡𝐚 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠:  Leverage our team to identify and develop new alpha models to help you get to alpha faster. As former buy-side quant practitioners, our team has extensive experience building sophisticated alpha models with Machine Learning techniques. We can deliver production models quickly using advanced #Python and database tools. ◘𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐒𝐮𝐩𝐩𝐨𝐫𝐭:  Considering a new platform like Snowflake? We'll ensure a smooth transition for your investment research data. Our mission is to help investment managers. We do not manage money and we respect your proprietary work. Ready to build your next-generation investment technology solutions? Contact SFS today and see how we can help you break down data barriers and make better investment decisions. #data #finance #investment #quantitativeanalysis #machinelearning #SFSconsulting

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