What we are
ficc.ai is a capital markets fintech company that provides enterprise software as a service (SaaS) based on machine learning and mathematical decision theory, enabling customers to achieve greater efficiency and capture more alpha in fixed income businesses.
How we do it
Our multimodal deep learning models provide a new depth and breadth of real-time knowledge and understanding of fixed income assets, allowing investors to capture greater alpha, faster. Our technology creates profit opportunities by scanning a universe of millions of debt obligations far faster than possible without our technology.
Whom we help
We augment voice traders, increasing their efficiency and allowing them to focus on where they add the most value, while our artificial intelligence takes care of details—integrated with your platform of choice.
As is the case with other public markets, the universe of fixed income securities is evolving rapidly 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 especially obvious in the secondary trading of fixed income securities. The ficc.ai technology will enable our clients to take advantage of more and better real-time market opportunities, maximizing both alpha and efficiency.
Charles was most recently a managing director at Goldman Sachs in New York, 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 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, with funding from Sequoia. He started his career as a software engineer and has an MBA from the Wharton School, University of Pennsylvania.
ML Software Engineer
Ahmad Shayaan joined ficc.ai from Columbia University, where he earned his M.S. in financial engineering. He has previous research experience in artificial intelligence and at hedge funds. He also holds M.S. and B.S. degrees in computer science from IIIT Bangalore (India).
Data & Research
Jesse came to ficc.ai from Oberlin College (Ohio) 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 M.A. 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 researcher at the Université de Lorraine (Metz, France) as well as at Oxford University (Oriel College). Myles will defend his Ph.D. dissertaion at the University of Groningen (Netherlands) in 2022 and earned his M.A. at Yale University.
Principal ML Software Engineer
Anis joined ficc.ai from Facebook and has extensive previous experience in machine learning and deep learning from Microsoft, Nvidia, Electronic Arts and Disney. Anis has an undergraduate degree in mathematics from the University of Waterloo. He is an inventor and an author on numerous patents and publications in computer vision and computer graphics.
ML Software Engineer
Prior to joining ficc.ai, Mitas was a Ph.D. student at the University of Washington in Seattle, doing research on machine learning methods for sequential decision making and decision-dependent optimization. Mitas holds a M.S. in ECE from the University of Washington. Immediately after earning his B.S. in EECS from the University of California, Berkeley, Mitas was appointed as a lecturer there.
Isaac has extensive experience in both machine learning and finance. He earned his M.S. in management science and engineering from Columbia University in 2021. Previously, he earned a B.Sc. in economics with first class honors at University College, London. Isaac has previously worked on applied machine learning projects for the Ministry of Finance in Singapore and the luxury company 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, also at Citi, he managed sales, trading, structuring, and lending businesses for municipal securities also. Joe graduated magna cum laude as an undergraduate at Harvard, and he has 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 Union Bank of Switzerland (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 technology, please email our product manager Myles at firstname.lastname@example.org.
We are always looking for world-class software engineering, financial, and machine learning talent to join our growing team. If you are interested, email us at email@example.com.