Traders - Prediction Markets

Moreton Capital Partners (MCP) is a CFTC regulated systematic investment manager focused on technology-driven trading strategies. They are seeking Traders for Prediction Markets to manage a live portfolio, develop strategies, and collaborate with quantitative analysts to refine their trading edge.

Responsibilities:

• Monitor and manage live positions across Polymarket (CLOB, Gamma, Subgraph APIs) and Kalshi (REST, WebSocket) throughout the trading day
• Execute strategies including: dynamic market making with real-time skew adjustment, order-flow and book imbalance exploitation, cross-platform pricing arbitrage, news and event momentum, and mean-reversion on statistically related contract pairs
• Build and backtest quantitative models using historical tick data, Bayesian probability frameworks, NLP-driven news parsing, and ML-based fair value estimation
• Collaborate with engineering on execution infrastructure — API integrations, order routing, position monitoring, and anomaly detection
• Maintain thorough post-trade analysis: attribution, model performance, slippage, and strategy decay monitoring
• Contribute ideas to the broader research agenda — prediction markets sit within MCP's wider effort to apply agentic AI and multi-signal frameworks to event-driven alpha

Requirements:

• Direct, hands-on experience trading on Polymarket and/or Kalshi — via personal accounts, proprietary systems, or professional roles. We expect specifics: markets traded, strategies used, edges identified
• Strong Python skills: pandas, NumPy, backtesting frameworks, and API integrations built from scratch
• Solid foundation in probability, statistics, time-series analysis, and Bayesian inference
• Genuine, demonstrable engagement with the prediction markets ecosystem. This is a hard filter: we will ask for specifics about recent resolutions, platform mechanics, and structural observations
• Undergraduate or higher degree in a quantitative discipline, or equivalent demonstrated ability
• A live profitable track record in prediction markets, options, or event-driven strategies — even at personal scale
• Experience with blockchain and DeFi tooling: Polygon RPC, USDC wallet management, ethers.js or equivalent
• Familiarity with low-latency execution, FIX protocol, or Web3 API infrastructure
• Domain depth in high-volume event categories: professional sports analytics, macroeconomics, geopolitics, climate
• Interest in or experience with agentic AI applied to trading — an active investment area at MCP