Moreton Capital Partners (MCP) is a CFTC regulated systematic, technology-first investment manager trading across various markets. They are seeking a senior Portfolio Manager to lead their prediction markets strategy, overseeing the investment process, building a global team, and collaborating with quant research and engineering to enhance their trading models.
Responsibilities:
- Own the prediction markets P&L. Set strategy, manage risk limits, oversee position sizing, and ensure the portfolio operates within defined drawdown and exposure parameters at all times across all traders
- Lead the full investment process: idea generation, model validation, live execution, post-trade analysis, and systematic improvement cycles
- Build and manage a team of traders and analysts. Set research priorities, review work rigorously, and develop talent
- Define and evolve MCP's edge across strategy types: market making, cross-platform arbitrage, event-driven momentum, statistical modelling on correlated contracts, and alternative data signal development
- Work with engineering to spec and prioritise infrastructure: execution systems, data pipelines, monitoring tools, and low-latency order management
- Contribute to investor reporting and, where relevant, capital raising — articulating the strategy's edge, risk profile, and performance clearly to institutional audiences
Requirements:
- Significant experience managing a live quantitative or event-driven trading portfolio with genuine P&L accountability — not just advisory or model-development roles
- Demonstrated edge in prediction markets, binary event trading, options, or closely related event-resolution domains
- Strong quantitative foundation: probability, Bayesian inference, statistical modelling, and portfolio construction
- Experience managing or mentoring junior trading professionals
- Clear, substantive engagement with the prediction markets ecosystem — platforms, mechanics, recent resolutions, structural inefficiencies. We will probe this in depth
- Undergraduate or postgraduate qualification in a quantitative discipline
- Experience operating on Polymarket, Kalshi, or equivalent platforms at meaningful scale
- Background in systematic commodity, macro, or multi-asset trading — our core competency and an area of genuine cross-pollination with prediction markets
- Familiarity with the analytics and data ecosystems around professional sports and major real-world event categories (politics, macroeconomics, climate)
- Experience with blockchain/DeFi infrastructure relevant to on-chain prediction market platforms
- Prior involvement in fund-level processes: investor relations, risk reporting, or strategy documentation