Quantitative Analyst

Job Summary

Driving the research process for a dedicated prediction markets fund, the full-time remote Quantitative Analyst will develop alpha signals, build and validate models, and collaborate closely with traders and engineers to implement and monitor research projects.

Key responsibilities

• Conduct rigorous quantitative research to identify new alpha signals across various prediction market categories
• Own the end-to-end research process, including data sourcing, exploratory analysis, methodology design, and performance evaluation
• Build and maintain data pipelines utilizing alternative and traditional data sources for model development and strategy construction

Required qualifications

• Undergraduate or postgraduate degree in data science, computer science, mathematics, statistics, operations research, financial engineering, or a related quantitative field
• Strong Python skills, including experience with pandas, NumPy, and scikit-learn
• Solid foundation in statistics, probability, time-series analysis, and machine learning
• Demonstrated interest in prediction markets through personal trading, research, or protocol analysis
• Ability to work independently and take full ownership of a research workstream