We are seeking a highly analytical and technically strong Trader with deep expertise in prediction markets and real-time modeling. The ideal candidate combines strong trading intuition, robust statistical and programming skills, and the ability to translate ambiguous problems into structured, high-quality models that drive profitable decision-making.
Key Responsibilities
- Design and develop complex models to generate real-time fair values for intricate, uncertain domains (e.g., weather, event-driven outcomes, or probabilistic systems)
- Identify edge cases, structural pitfalls, and modeling risks, proactively addressing them to ensure robustness and operational stability
- Assess data needs and sourcing strategies, determining what inputs are required for accurate forecasting and collaborating with relevant teams to acquire them
- Build initial model prototypes in Python, using libraries such as pandas and numpy, and partner closely with developers to productionize these models for real-world trading
- Monitor, validate, and iterate on production models, ensuring strong performance and continuously improving predictive accuracy and trading outcomes
- Identify, evaluate, and execute market-take opportunities arising from model insights and prediction-market dynamics
- Collaborate with engineering teams to optimize trading strategies, enhance infrastructure, and scale automated decision-making