Postdoctoral Researcher

A leading systematic prop trading firm ($11B AUM) is seeking a Post-Doc Quantitative Researcher to help build a new Prediction Markets strategy during its most ambitious growth phase yet.

This is an opportunity to shape a rapidly emerging asset class spanning sports, politics, economics, and other real-world events. You will develop the models, datasets, and trading frameworks required to price uncertain outcomes and identify opportunities in markets that are still largely unexplored.

Compensation starts at a $300,000 base + Bonus + PnL% getting to guaranteed packages ranging from $500,000 to $1.5M. The role is hybrid out of New York with flexibility to work remote within the US.

Role Includes:

• Build probabilistic pricing and forecasting models for real-world events
• Source and transform unconventional datasets into tradable signals
• Develop ML-driven approaches to probability calibration, market microstructure, and participant behavior
• Identify mispriced outcomes across sports, politics, economics, and emerging event markets

Must Have:

• PhD in Statistics, Machine Learning, Quantum fields, or Systems.
• 0 to 3 years of experience in quantitative research, development, trading, or execution
• Strong foundations in probability, statistics, machine learning, and experimental design
• Undegratuate from top schools across mathematics, statistics, computer science, physics, engineering, or a related quantitative discipline
• Genuine interest in forecasting, decision-making under uncertainty, and building within a new market category