Prediction Market Trader
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Experienced Prediction Market Trader with a proven live trading track record. Must understand prediction market mechanics and have a structured approach to risk management. Remote work, global candidates welcome.
Blockchain Headhunter’s Post
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A brief cover letter highlighting your most relevant experience and accomplishments is welcome. ---- About Blockchain Headhunter: ✓ 370+ placements for 90+ clients across crypto since 2017 ✓ Trusted by leading Bitcoin, infrastructure, trading, DeFi and web3 teams ✓ 300,000+ professionals in our global talent community ---- Hiring or exploring opportunities in Prediction Markets? Introducing Prediction Talent — the first executive search & recruitment firm dedicated exclusively to prediction markets. Whether you're hiring, building a team or exploring your next opportunity, Prediction Talent connects exceptional professionals with the companies shaping the future of prediction markets.
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Чем предстоит заниматься
- Own PnL and risk across prediction market strategies
- Identify and execute event-driven trading opportunities
- Develop and refine systematic or discretionary strategies
- Apply probabilistic thinking, data analysis, and market structure insight to pricing inefficiencies
- Continuously improve performance through trade review, attribution, and iteration
- Collaborate with researchers and engineers to enhance execution, tooling, and infrastructure
Что требуется
- Proven live trading track record in prediction markets
- Clear ownership of capital, risk, and execution decisions
- Demonstrated ability to perform consistently across market regimes
- Deep understanding of prediction market mechanics, liquidity and execution dynamics, event-driven pricing, and behavioral inefficiencies
- A structured process across idea generation, position sizing, risk management, and post-trade analysis
The company is a high-performing proprietary trading firm specialising in digital assets. They deploy quantitative and algorithmic strategies, supported by rigorous data-driven research and disciplined risk management.