What we are
ficc.ai is a capital markets fintech and enterprise SaaS company that uses machine learning (ML) and decision theory to create efficiency & capture alpha in the fixed income markets.
How we do it
Our state of the art ML models enable a new depth of knowledge and understanding of fixed income assets, allowing investors to capture greater alpha. Our technology creates profit opportunities by scanning a universe of millions of debt obligations in real time.
Who we help
We augment voice traders, increasing their efficiency and letting them focus on where they add the most value, while our artificial intelligence takes care of details — integrated with your platform of choice.
As with most public markets, the universe of fixed income securities has been rapidly evolving away from human traders towards algorithms. Increasingly, the determination of market actions, both on the sell and buy side, is automated. Humans cannot scan the entire universe of millions of opportunities systematically, which creates market inefficiencies. These inefficiencies are most obvious in the secondary trading of fixed income securities. It is our belief, at ficc.ai, that our technology will allow us to provide our clients real-time market opportunities that maximize alpha.
Charles was most recently a managing director at Goldman Sachs, where he was the global head of machine learning. Previously he led the central machine learning organization for Amazon in Seattle, and spent many years as a professor of computer science and artificial intelligence at the University of California, San Diego. He has a Ph.D. from Cornell University and an undergraduate degree from Cambridge University.
Prior to starting ficc.ai, Gil spent six years at Microsoft AI and Amazon Core Machine Learning team, where he was driving initiatives to apply state of the art AI techniques to real world applications with several hundreds millions of users. Gil is also the founder of Amobee, the world’s first mobile advertising company. He started his career as a software engineer and has an MBA from the Wharton School, University of Pennsylvania.
ML Software Engineer
Ahmad Shayaan joins ficc.ai from Columbia University, where he completed his Master's in Financial Engineering. He has research experience in artificial intelligence. He also holds a master's in computer science from IIIT Bangalore, India.
Data & Research
Jesse comes to ficc.ai from Oberlin College where he was a professor and taught courses on technology in East Asia. He holds a Ph.D. from the University of California, Berkeley and an MA from Peking University.
Prior to joining ficc.ai, Myles was a professor at Lee University where he taught undergraduate courses. Previously Myles had been a post-doctoral researcher at the Université de Lorraine (Metz, FR) as well as at Oxford University (Oriel College). Myles will defend his Ph.D. from the University of Groningen (NL) in 2021 and earned his MA from Yale University.
Isaac has extensive experience in both machine learning and finance. He earned his M.S. in Management Science and Engineering from Columbia University. Previously, he earned a B.Sc in Economics with first class honours at University College, London. Isaac has previously worked on applied machine learning projects for the Ministry of Finance in Singapore and the luxury brand LVMH.
Joe is a partner at Old Orchard Capital Management. From 2018 until recently he was co-head of the Global Spread Products division at Citi. Earlier, he managed sales, trading, structuring, and lending businesses for municipal securities also at Citi. Joe graduated Magna Cum Laude with an undergraduate degree from Harvard, and he served on the Municipal Securities Rule-making Board (MSRB), where he was Vice Chair.
Ross co-founded Old Orchard Capital Management, an investment advisor that specializes in trading municipal bonds, in 2014. Earlier he was a partner at First New York Capital Management, a managing director at UBS, and a vice president at J.P. Morgan and Prudential Financial.
For more information about ficc.ai or to schedule a time for a demonstration of our product please email our product manager Myles at firstname.lastname@example.org.
We are always looking for world-class engineering, financial, and ML talent to join our growing team. If you are interested, email us at email@example.com.