Senior Prediction Markets Trader - Real-Time Modeling

SIG Susquehanna; Pennsylvania; Hybrid; USD 150.000 - 230.000; Vollzeit

Benefits dieser Stelle

Relaxed dress code

Kitchens & snacks

Fitness facility

Discounts for dining, entertainment,购物

Social events

On-site services

Community donations

Zusammenfassung

SIG Susquehanna seeks a highly analytical trader with deep expertise in prediction markets and real-time modeling. The role emphasizes translating ambiguous problems into structured, high-quality models that drive profitable decision-making.

You will prototype in Python with Pandas and NumPy, work with developers to productionize models for real-world trading, and continuously improve forecasting and trading outcomes through rigorous validation and iteration.

Qualifikationen

• Strong understanding of trading concepts and probabilistic reasoning.
• Extensive experience with prediction markets, market structure and liquidity dynamics.
• Proficiency in Python with Pandas and NumPy.
• Ability to reason about uncertainty and edge cases.
• Strong communication and cross-functional collaboration skills.

Aufgaben

• Design and develop real-time models to generate fair values for complex, uncertain domains.
• Identify edge cases, structural pitfalls, and risks to ensure robustness and stability.
• Assess data needs and sourcing strategies for accurate forecasting.
• Build Python prototypes using Pandas/NumPy and productionize with engineering teams.
• Monitor, validate, and iterate on production models to improve accuracy and trading outcomes.
• Identify and execute market-take opportunities from model insights and dynamics.
• Collaborate with engineering to optimize trading strategies and scale automated decisions.

Kenntnisse

Trading concepts

Prediction markets

Python

Pandas

NumPy

Cross-functional collaboration

Jobbeschreibung

SIG Susquehanna seeks a highly analytical trader with deep expertise in prediction markets and real-time modeling. The role emphasizes translating ambiguous problems into structured, high-quality models that drive profitable decision-making.

You will prototype in Python with Pandas and NumPy, work with developers to productionize models for real-world trading, and continuously improve forecasting and trading outcomes through rigorous validation and iteration.