The Team
Our team combines deep quantitative research, systems engineering, and institutional trading experience. We believe the best investment decisions are made by machines following rules written by rigorous humans.
People
Chief Investment Officer
15 years in systematic equity trading at top-tier quant funds. Architect of the core signal generation framework. Former research scientist at a quantitative macro hedge fund with $4B+ AUM. PhD, Applied Mathematics, MIT.
LinkedIn ↗Head of Risk & Technology
Former VP of quantitative risk at a top-five US prime brokerage. Designed the multi-layer risk engine and automated execution infrastructure. Expert in market microstructure and smart order routing. MS, Computer Science, Stanford.
LinkedIn ↗Quantitative Research Lead
10 years developing cross-sectional equity factor models. Leads ongoing research into alternative data sources, regime detection, and model robustness validation. Previously at a systematic global macro fund. MBA & MS Statistics, University of Chicago.
LinkedIn ↗Our Principles
The rules that govern how we think, research, and operate.
We don't forecast where markets will go. We build robust processes that capture persistent statistical edges regardless of macro narrative.
Every dollar of return is evaluated against the risk it required. Sharpe ratio and drawdown control take precedence over raw returns.
Human discretion introduces behavioral biases that destroy alpha. Automation ensures consistent rule application under all market conditions.
No model lasts forever. We run a permanent research pipeline to detect regime changes and evolve the strategy before edges erode.
Investors deserve to understand how their capital is deployed. We provide institutional-grade reporting with full attribution detail.
Asymmetric position sizing and hard circuit breakers ensure that a single bad period can never threaten the overall portfolio.
Infrastructure & Services
We work exclusively with tier-one prime brokers, data vendors, and technology providers.
We are selectively accepting capital from qualified investors and occasionally open research and engineering roles.