Quantitative Researcher

Storm2; United States; On-site; USD 120,000 - 200,000; Full time

Benefits offered by this job

Revenue sharing

Job summary

Storm2 is seeking an early-to-mid career quantitative researcher to develop pricing and market-making models powering automated trading.

You will work with traders and engineers to deploy research in production, backtest strategies, and analyze market relationships across active prediction markets.

Qualifications

• Bachelor's, Master's, or PhD in a quantitative discipline is required or strongly preferred.
• Proven ability to apply statistical methods to real-world problems with solid reasoning.
• Proficiency in Python and experience handling large datasets.
• Professional experience in quantitative research or related trading fields is desirable.
• Ability to clearly communicate complex quantitative ideas to diverse audiences.

Responsibilities

• Develop and refine fair-value pricing models for binary and multi-outcome contracts.
• Research market microstructure, liquidity, adverse selection, and trading behavior.
• Build and maintain simulations and backtesting frameworks reflecting live conditions.
• Design quoting, inventory management, and capital allocation models for live markets.
• Collaborate with traders to convert observations into testable hypotheses.
• Partner with engineers to productionize research models using live data.
• Analyze relationships between connected markets to identify portfolio risks.
• Evaluate model performance using real-world metrics like P&L and spread capture.

Skills

Quantitative research

Statistics

Probability

Data analysis

Python programming

Communication of complex concepts

Education

Bachelor's degree in Mathematics/Statistics/Physics/CS/Economics/OR

Master's degree or PhD preferred

Tools

Backtesting frameworks

SQL

Job description

Are you a early-career quantitative researcher with a passion for probability, market dynamics, and building models that drive real-world trading decisions? Join a profitable prediction markets trading firm and help develop the pricing and market-making models behind an automated trading operation.

Working alongside experienced traders and engineers, you'll research, deploy, and refine quantitative models that support trading across some of the world's most active prediction and event-driven markets.

What You'll Do

• Develop and improve fair-value pricing models for binary and multi-outcome contracts.
• Research market microstructure, liquidity, adverse selection, and trading behavior to identify profitable opportunities.
• Build simulations and backtesting frameworks that reflect real trading conditions.
• Design quoting, inventory management, and capital allocation models used in live markets.
• Work closely with traders to turn observations and market insights into testable research hypotheses.
• Partner with engineers to bring research models into production and continuously improve performance using live trading data.
• Analyze relationships between connected markets and identify portfolio risks and inefficiencies.
• Evaluate model performance using real-world metrics including P&L, fill quality, inventory costs, and spread capture.

What We're Looking For

• Bachelor's, Master's, or PhD in Mathematics, Statistics, Physics, Computer Science, Economics, Operations Research, or another quantitative discipline.
• Strong analytical and problem-solving skills with experience applying statistical or quantitative techniques to real-world problems.
• Proficiency in Python and experience working with large datasets.
• Professional experience in quantitative research, trading, market making, sports betting, forecasting, optimization, or a related field.
• Understanding of probability, statistics, experimental design, and model validation.
• Experience building models that have been tested, deployed, or used in production environments.
• Ability to communicate complex quantitative concepts clearly to both technical and non-technical stakeholders.

Nice To Have

• Experience in sports betting, prediction markets, exchange betting, market making, electronic trading, options, or crypto trading.
• Familiarity with order book data, market microstructure, and inventory management.
• Experience developing pricing models for event-driven or discrete-outcome markets.
• Knowledge of Kalshi, Polymarket, betting exchanges, or similar venues.
• Experience building research and backtesting systems for trading strategies.

Why Join?

• Become the first senior quantitative researcher in a growing and profitable trading business.
• Work on models that directly influence trading performance and profitability.
• Partner closely with traders and engineers, with a clear path from research to live deployment.
• Take ownership of the entire research lifecycle, from idea generation to production.
• Help shape the firm's research standards, tooling, and long-term quantitative strategy.
• Competitive compensation including revenue share linked to trading performance.

This role is ideal for a researcher who enjoys solving real trading problems, working closely with market participants, and seeing their work have immediate impact in live markets.