Prediction Markets Trader — Live P&L, AI-Driven Edge

Moreton Capital Partners; United States; À distance; USD 120 000 - 180 000; Plein temps

Résumé du poste

Moreton Capital Partners is seeking a Trader to manage a live prediction market book, executing strategies on Polymarket and Kalshi. You will develop models with Python, backtest ideas, and work closely with quants to refine edge.

The role emphasizes execution on day one, with real P&L responsibility, and welcomes both proven practitioners and sharp new entrants who have pursued projects in prediction markets on their own.

Qualifications

• Undergraduate or higher degree in a quantitative discipline, or equivalent demonstrated ability.
• Strong Python skills with pandas/NumPy and backtesting frameworks.
• Solid foundation in probability, statistics, time-series analysis, and Bayesian inference.
• Genuine engagement with the prediction markets ecosystem and ability to discuss recent resolutions.

Responsabilités

• Monitor and manage live positions across Polymarket and Kalshi throughout the trading day.
• Execute strategies including market making, arbitrage, momentum, and mean-reversion.
• Build and backtest quantitative models using historical tick data, Bayesian frameworks, NLP-driven news parsing, and ML-based fair value estimation.
• Collaborate with engineering on execution infrastructure and API integrations.
• Maintain post-trade analysis: attribution, model performance, and slippage.
• Contribute ideas to the broader research agenda around event-driven alpha.
• Direct, hands-on trading on platforms via personal accounts or professional roles.

Connaissances

Python

Statistics

Time-series

Bayesian inference

NLP parsing

Backtesting

Formation

Quantitative degree

Outils

Polymarket API

Kalshi API

Description du poste

Moreton Capital Partners is seeking a Trader to manage a live prediction market book, executing strategies on Polymarket and Kalshi. You will develop models with Python, backtest ideas, and work closely with quants to refine edge.

The role emphasizes execution on day one, with real P&L responsibility, and welcomes both proven practitioners and sharp new entrants who have pursued projects in prediction markets on their own.