
Portfolio Manager – Prediction Markets
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Mexico, +5 more countries.
• Take ownership of the prediction markets P&L.
• Develop strategy, manage risk limits, oversee position sizing, and ensure portfolio compliance with drawdown and exposure parameters for all traders.
• Spearhead idea generation, model validation, live execution, post-trade analysis, and cycles for systematic improvement.
• Build and lead a team of traders and analysts.
• Establish research priorities, rigorously review work, and foster talent development.
• 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.
• Collaborate with engineering to define and prioritize execution systems, data pipelines, monitoring tools, and low-latency order management infrastructure.
• Contribute to investor reporting and, when applicable, capital raising efforts.
• Effectively communicate the strategy's competitive edge, risk profile, and performance to institutional audiences.
• Extensive experience managing a live quantitative or event-driven trading portfolio with real P&L responsibility — not limited to advisory or model-development roles.
• Proven expertise in prediction markets, binary event trading, options, or closely related event-resolution fields.
• Strong quantitative background: probability, Bayesian inference, statistical modeling, and portfolio construction.
• Experience in managing or mentoring junior trading professionals.
• Significant, substantive engagement with the prediction markets ecosystem — platforms, mechanics, recent resolutions, and structural inefficiencies.
• Undergraduate or postgraduate degree in a quantitative discipline.
• Experience working on Polymarket, Kalshi, or similar platforms at a significant scale.
• Background in systematic commodity, macro, or multi-asset trading.
• Familiarity with analytics and data ecosystems related to professional sports and major real-world event categories (politics, macroeconomics, climate).
• Experience with blockchain/DeFi infrastructure pertinent to on-chain prediction market platforms.
• Prior participation in fund-level processes: investor relations, risk reporting, or strategy documentation.
• Competitive base salary.
• Significant performance-linked upside.
• Opportunity to participate in MCP's broader success.
• Compensation structure and amount discussed at the offer stage with the suitable candidate.
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