About UTexas
UTexas was founded in 2018 by Dr. Raymond Solis and Dr. Catherine Yue, two professors who had spent their careers studying market microstructure and computational finance at leading research universities. They shared a growing frustration: the best ideas in academic finance took years to reach practitioners, and when they did, they were often implemented without the statistical rigor that made them valid in the first place. Too many production trading systems were built on intuition dressed up as science.
Raymond and Catherine envisioned a company that operated like a research lab but shipped like a technology firm. They recruited a founding team of PhD-trained engineers and researchers who were equally comfortable writing proofs and writing production code. The first UTexas product — a transaction cost analysis platform grounded in the Almgren-Chriss optimal execution framework — launched in 2019 and quickly gained a reputation among quantitative funds for the depth and transparency of its methodology.
Today UTexas employs 110 people, roughly a third of whom hold doctoral degrees. We operate a research lab that publishes regularly in top-tier journals, a training academy that has graduated over 500 quant professionals, and an engineering organization that builds production platforms used by 120 institutional clients. Our offices are in Austin, Boston, and Oxford. We are often asked whether we are a technology company or a research institution — our answer is that we refuse to choose, because we believe the best trading technology is indistinguishable from good science.
Our Mission
To advance the science of trading technology through rigorous research, transparent methodology, and technology that makes empirical evidence actionable.
Our Values
Rigor
Every model we deploy, every claim we make, and every system we build is held to the standard of peer review. We document our assumptions, disclose our limitations, and publish our methodology so that clients and the broader community can scrutinize and improve upon our work.
Education
Knowledge compounds. We invest deeply in training — both internally and through our public academy — because we believe a better-educated industry produces better technology, better regulation, and better outcomes for all market participants.
Integrity
We will never overfit a backtest, cherry-pick a result, or sell a model we do not believe in. Our clients trust us because we tell them what the data actually says, even when the answer is inconvenient. Long-term credibility is worth more than any short-term sale.