Quantitative Researcher – Prediction Markets, Quant Trading

This is a fully remote position, open to applicants in Texas.

📋 Description

• Develop a robust data infrastructure, converting unprocessed data into pricing inputs.

• Investigate and create quantitative models for pricing, market-making, and risk assessment across various sectors, including sports, non-sports, player props, parlays, and correlated markets.

• Analyze cross-market interdependencies, correlations, and portfolio impacts, particularly for combinatorial products like parlays.

• Collaborate closely with traders to enhance pricing strategies, market coverage, and trading effectiveness.

• Establish frameworks for backtesting, simulation, and model validation.

• Design tools to assess model performance, calibration, P&L attribution, and outcomes of live trading.

• Assist in defining the tools, workflows, and research standards for a newly formed team.

⛳️ Requirements

• Strong quantitative expertise in statistics, mathematics, machine learning, economics, or a related discipline.

• Proven experience in developing models for trading, sports, betting, prediction markets, or comparable fields.

• Proficient in Python/data management and comfortable overseeing data pipelines alongside modeling tasks.

• Capability to swiftly transition from raw data to research insights and production-ready solutions.

• High level of ownership, excellent communication abilities, and comfort in a dynamic, fast-paced growth environment.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and continuous learning.

• Flexible work hours and a supportive work environment.