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At ficc.ai our pre-trade analysis takes the emotion out of decision making, our trader assistant ensures you are getting trades filled at reasonable levels, and our post-trade analysis is your solution to best execution reporting requirements.
As daily tasks become increasingly automated, reliable input data is crucial for valuable output. Whether for trading decisions, investment allocations, or compliance oversight, ficc.ai provides real-time, accurate prices based on trade size. Market participants understand that bond price estimates depend on dynamic, daily information and transaction size. It's time to move away from static pricing.
ficc.ai employs cutting-edge AI developed in-house by a team of market experts and scientists. Our models deliver highly accurate, on-demand prices, predicting bid and ask levels, as well as our proprietary ficc.ai price for inter-dealer trades. We offer flexible solutions for pricing individual bonds, bid/offer lists, and entire portfolios, available via API or custom integrations.
With over 35 years of experience in municipal fixed income SMA and mutual fund management, electronic trading, and fintech, Stephen Winterstein has held numerous roles. These include serving as the Head of Municipal Fixed Income at MarketAxess and the Managing Director, Head of Municipal Fixed Income Strategy & Research at Wilmington Trust.
Prior to starting ficc.ai, Gil spent six years at Microsoft AI and in the Amazon core machine learning team, where he drove initiatives to apply state-of-the-art artificial intelligence techniques to real-world applications with several hundred million users. Earlier, Gil founded Amobee, the world’s first mobile advertising company, sold to Sing-Tel for $324mm. He started his career as a software engineer and has an MBA from the Wharton School, University of Pennsylvania.
Jon brings over 35 years of fixed income market experience to ficc.ai. He has been at the forefront in the use of technology to improve outcomes in the market his entire career. After 8 years working on the dealer side, Jon joined Susquehanna (SIG) where he built and managed the proprietary municipal and corporate bond trading desks, as Global Head of Fixed Income. After leaving SIG, he founded Duration Capital Management, a hedge fund company specializing in fixed income arbitrage with a primary focus on municipal bonds and derivatives. From 2016 until March of 2024, Jon worked at Clark Capital where he was Head of both the Fixed Income and Cross Asset departments. He built and led teams that managed taxable and tax free SMA assets, actively traded mutual funds, and a leveraged hedge fund. Jon was lead manager on the $7B Navigator Tactical Fixed Income Fund (NTBIX), a 3x winner of Lipper's award for best Alternative Credit Focus Funds.
Prior to joining ficc.ai, Mitas was a researcher at the University of Washington in Seattle, working on machine learning methods for sequential decision making and decision-dependent optimization. Mitas holds a M.S. from the University of Washington. Immediately after earning his B.S. in computer science from the University of California, Berkeley, Mitas was appointed as a lecturer there.
Jesse came to ficc.ai from Oberlin College (Ohio) where he was a professor teaching courses on technology in East Asia. He has also taught at Smith College (Massachusetts) and holds a Ph.D. from the University of California, Berkeley, an M.A. from Peking University (China) and a B.A. from Wesleyan University (Connecticut). Jesse has been a Fulbright Scholar of the US Department of State.
Prior to joining ficc.ai, Myles was a professor at Lee University. Previously Myles had been a researcher at the Université de Lorraine (Metz, France) as well as at Oxford University (Oriel College). Myles will defend his Ph.D. dissertation at the University of Groningen (Netherlands) in 2024, and holds an M.A. from Yale University.
