
Prediction Markets Quant Trader
Posted 2 hours ago

Posted 2 hours ago
This is a fully remote position, open to applicants in Netherlands, +4 more countries.
β’ Create and refine high-frequency and systematic trading strategies for prediction and event markets, concentrating on political, macroeconomic, cryptocurrency, and sports-related contracts.
β’ Construct and enhance predictive models and signals for pricing, execution, hedging, and post-trade analysis of binary and categorical event contracts.
β’ Carry out and oversee arbitrage trades across various prediction-market venues and correlated instruments until settlement.
β’ Manage collateral and balances, internal transfers, withdrawals/deposits, and post-trade reconciliations to minimize errors.
β’ Take ownership of the prediction-markets trading pipeline, from tracking probabilities/odds and market-making strategies to monitoring and deployment.
β’ Enhance cross-venue hedging, correlated market flows, and settlement procedures across both regulated and offshore platforms.
β’ Examine market microstructure, order-book dynamics, and execution performance to enhance Sharpe ratios and reduce slippage.
β’ Assist in evolving asset-allocation strategies across more than 30 exchanges and prediction-market venues.
β’ Keep track of resolution criteria, event calendars, and platform rule specifics to identify mispricings and structural advantages.
β’ A minimum of 5 years of experience in high-frequency or proprietary trading (in crypto, prediction markets, sports betting, or traditional finance).
β’ Previous experience with prediction/event markets (such as Kalshi, Polymarket, PredictIt, sportsbooks, or similar), or in a low-latency trading/execution setting.
β’ Practical experience in trading binary or categorical outcome contracts, options, or other probability-based financial instruments.
β’ Understanding of event market structure, resolution processes, and price discovery in relation to political, macroeconomic, cryptocurrency, and sports-related contracts.
β’ Strong background in hedging strategies, managing collateral and settlement flows, or optimizing asset rebalancing across multiple platforms.
β’ Profound knowledge of market microstructure and systems that leverage thin liquidity and event-driven order flow for competitive advantage.
β’ Excellent analytical skills for evaluating PnL, post-trade metrics, and optimizing Sharpe ratios, turnover, and drawdowns.
β’ Advanced skills in Python, applied statistics, and predictive/probabilistic modeling techniques (e.g., calibration, Bayesian updating).
β’ Familiarity with Rust is considered a notable asset.
β’ Capability to design and maintain a robust trading infrastructure, including real-time monitoring, execution diagnostics, dynamic parameter adjustment, and automated risk management controls.
β’ Profit shares directly tied to your performance and market outcomes β with significant upside potential.
β’ A budget dedicated to Learning & Development.
β’ Customizable benefits package β including free meals, Bolt taxi credits, sports, spa & wellness options, etc.
β’ Opportunities to engage in global crypto and prediction-market events.
β’ Flexible working hours.
β’ Casual dress code.
β’ A dynamic startup environment.
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