Mathematicians, engineers,
and seasoned practitioners.

Junaid founded Pareto and directs its systematic investment process, leading the firm's investment and operations.

• Catastrophic-risk research. His Johns Hopkins doctoral dissertation built Ω-Robustness, a framework integrating Pareto and distributionally robust optimization to model and bound low-probability, high-impact failures in complex systems.
• Quantitative risk. Six-plus years leading data science and analytics teams, building proprietary frameworks for risk modeling and market fragility, including the predictive overlays the firm uses to find asymmetric opportunities during structural market breakdowns.
• Recognized research. Work on quantitative finance, AI, and digital assets featured by Institutional Investor, Bloomberg, and CAIA.

Zachary leads the research and execution infrastructure behind Pareto's strategies.

• Production infrastructure. Seven-plus years building backend and data-science systems, including four years maintaining core quant-fund infrastructure in production.
• Execution systems. Builds the event-driven backtesting and execution systems funds rely on to trade across digital and traditional markets, and productionizes mid- and high-frequency strategies.
• Applied research. Machine-learning research on unstructured data, in collaboration with Neuravest Research, Equifax, and Benzinga.