Our experience in data science and AI dates back to 2017, when our founders developed a real-time news analytics application for Nasdaq to monitor credit news for thousands of companies, and to 2012, when they developed a proprietary risk management system for Nasdaq to control credit risks stemming from the financial crisis of 2008.
Help asset managers deliver alpha for their clients in the corporate credit markets.
Co-founder and CEO has 18 years of experience on Wall Street and 10 years of experience as a researcher. Mario worked 12 years at Nasdaq as the Head of Financial Risk Management and Technology. His expertise includes ideating and developing innovative AI tools, automated enterprise platforms, and real time risk analytics monitoring systems that solved real business problems, improved efficiency, and augmented the capabilities of Nasdaq's risk management team. Mario’s industry experience includes quantitative analysis and risk management of derivatives clearing, asset management, broker-dealers, trading platforms, banks, and insurance. Mario earned a Ph.D. in Physics from Columbia University and a Bachelor of Science in Physics from the Massachusetts Institute of Technology.
Co-founder and CFO. With over 14 years of expertise in market and credit risk modeling, Sam's insights are pivotal to our innovative solutions. Samuel possesses a strong expertise in financial modeling, clearing, and infrastructure, and risk management as a quant in OTC clearing for energy derivatives. At Nasdaq, Sam developed capital and margin models for exchange-traded electricity derivatives as well as corporate credit scoring models. He was Head of Financial Model Validation, overseeing the Nasdaq-100 index calculations. Samuel earned advanced degrees in Mathematics and Financial Engineering from Northwestern University and from the Illinois Institute of Technology. He graduated summa cum laude from Dartmouth College, earning early induction into Phi Beta Kappa and receiving the Town Prize for Mathematics.
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