
Portfolio Manager β Prediction Markets
Posted Aug 30

Posted Aug 30
This is a fully remote position, open to applicants in Mexico, +5 more countries.
β’ Take ownership of the prediction markets P&L.
β’ Develop strategy, manage risk limits, oversee position sizing, and ensure portfolio compliance with drawdown and exposure parameters for all traders.
β’ Spearhead idea generation, model validation, live execution, post-trade analysis, and cycles for systematic improvement.
β’ Build and lead a team of traders and analysts.
β’ Establish research priorities, rigorously review work, and foster talent development.
β’ Define and refine MCP's competitive advantage in market making, cross-platform arbitrage, event-driven momentum, statistical modeling on correlated contracts, and alternative data signal development.
β’ Collaborate with engineering to define and prioritize execution systems, data pipelines, monitoring tools, and low-latency order management infrastructure.
β’ Contribute to investor reporting and, when applicable, capital raising efforts.
β’ Effectively communicate the strategy's competitive edge, risk profile, and performance to institutional audiences.
β’ Extensive experience managing a live quantitative or event-driven trading portfolio with real P&L responsibility β not limited to advisory or model-development roles.
β’ Proven expertise in prediction markets, binary event trading, options, or closely related event-resolution fields.
β’ Strong quantitative background: probability, Bayesian inference, statistical modeling, and portfolio construction.
β’ Experience in managing or mentoring junior trading professionals.
β’ Significant, substantive engagement with the prediction markets ecosystem β platforms, mechanics, recent resolutions, and structural inefficiencies.
β’ Undergraduate or postgraduate degree in a quantitative discipline.
β’ Experience working on Polymarket, Kalshi, or similar platforms at a significant scale.
β’ Background in systematic commodity, macro, or multi-asset trading.
β’ Familiarity with analytics and data ecosystems related to professional sports and major real-world event categories (politics, macroeconomics, climate).
β’ Experience with blockchain/DeFi infrastructure pertinent to on-chain prediction market platforms.
β’ Prior participation in fund-level processes: investor relations, risk reporting, or strategy documentation.
β’ Competitive base salary.
β’ Significant performance-linked upside.
β’ Opportunity to participate in MCP's broader success.
β’ Compensation structure and amount discussed at the offer stage with the suitable candidate.
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