Quantitative Analyst, Prediction Markets — Live Deployment

Moreton Capital Partners; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Moreton Capital Partners is seeking a Quantitative Analyst to own the research function for a dedicated prediction markets fund. You will develop alpha signals, build models, and drive research from data ingestion to live deployment with traders and engineers.

The role emphasizes independence, rigorous methodology, and rapid iteration across sports, macro, geopolitics, and financial events. A strong foundation in statistics and Python is essential for success.

Qualifications

• Undergraduate or postgraduate degree from a strong institution in data science, computer science, mathematics, statistics, operations research, financial engineering, or a closely related quantitative field
• Strong Python skills: pandas, NumPy, scikit-learn, and experience building backtesting or research frameworks from scratch
• Solid foundation in statistics, probability, time-series analysis, and machine learning — with the ability to apply these rigorously rather than just use libraries
• Demonstrated interest in prediction markets — personal trading, research, protocol analysis, or equivalent engagement. We expect you to know these platforms well
• Ability to work independently and take full ownership of a research workstream, not just execute tasks handed to you

Responsibilities

• Conduct rigorous quantitative research to identify new alpha signals across prediction market categories — sports, macro, political, financial, and environmental events
• Own the end-to-end research process in close collaboration with the Portfolio Manager: data sourcing and ingestion, exploratory analysis, methodology design, implementation, backtesting, and live performance evaluation
• Build and maintain data pipelines drawing on alternative and traditional data sources — market microstructure, public resolution data, news and sentiment feeds, sports analytics databases, and fundamental datasets
• Develop and improve models for fair value estimation, calibration analysis, and systematic strategy construction
• Extend and improve MCP's internal research platform — tools, libraries, and workflows that make the whole team faster and more rigorous
• Maintain a systematic review of the academic and practitioner literature on prediction markets, sports analytics, Bayesian forecasting, and related fields
• Produce clear, structured research outputs — documented methodology, performance attribution, and actionable recommendations — that can be directly used by traders

Skills

Python (pandas/NumPy)

Statistics & time-series

Independent research

Prediction markets interest

Backtesting frameworks

Education

Quantitative degree (BSc/MSc)

Tools

Backtesting libraries

Job description

Moreton Capital Partners is seeking a Quantitative Analyst to own the research function for a dedicated prediction markets fund. You will develop alpha signals, build models, and drive research from data ingestion to live deployment with traders and engineers.

The role emphasizes independence, rigorous methodology, and rapid iteration across sports, macro, geopolitics, and financial events. A strong foundation in statistics and Python is essential for success.