AI-Native Liquidity Provision
P&Q Analytics develops autonomous quoting, hedging, and risk agents for listed options. Our systems continuously learn from order flow, volatility regimes, and microstructure signals to deliver tighter pricing and resilient liquidity.
Who We Are
P&Q Analytics combines deep expertise in AI agent engineering, quantitative options modeling, and cutting-edge trading technology.
Our team includes professionals with more than 20 years of hands-on options trading experience at leading firms, with proven strengths in volatility modeling, derivatives strategy design, and live market execution.
Nearly all team members hold PhD degrees. Our researchers specialize in deep learning and autonomous AI systems, while our engineers build low-latency, real-time trading and analytics platforms for production financial environments.
What We Do
Model-informed quoting agents generate adaptive bid/ask surfaces using implied volatility dynamics, skew behavior, and intraday liquidity signals.
Automated hedge selection and execution agents manage Greeks in real time while balancing transaction cost, inventory, and market impact.
Always-on risk agents enforce limits, detect regime shifts, and trigger defensive behaviors when volatility or liquidity stress exceeds tolerance.
Platform
One production trading system combining low-latency infrastructure, multi-agent execution, and operator oversight.
Low-latency data, execution connectivity, and resilient compute.
Pricing, hedging, and risk agents coordinate in real time under deterministic controls.
Operators monitor agent states via clear charts and indicators, with optional intervention through natural language or voice commands.
Market Impact
Execution quality, liquidity continuity, and disciplined risk control.
Work With Us
We are hiring engineers and researchers who want to ship production AI systems in high-stakes market environments.