Quantitative Trader / Researcher - Prediction Markets
What You'd Be Working On
- Researching and developing systematic trading strategies for prediction markets
- Modeling probabilities, information dynamics, and market inefficiencies
- Identifying alpha driven by behavioral bias, timing, or structural features
- Backtesting, validating, and monitoring strategies in live trading
- Working closely with engineers to deploy and iterate on production strategies
Ideal Background
- Strong foundation in probability, statistics, optimization, or machine learning
- Experience in trading, sports betting, prediction markets, or financial markets
- High proficiency in Python
- Comfort working with noisy, sparse, and real-time data
- Intellectual curiosity around markets, incentives, and information efficiency
Why This Role
- Prediction markets treated as a first-class quantitative trading problem
- High ownership over research direction and strategy lifecycle
- Tight feedback loop between research, execution, and PnL
- Competitive compensation with real upside tied to performance
- Exposure to sports and real-world event-driven markets at scale
FAQs
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