Quantitative Analyst - Prediction Markets
M
Moreton Capital PartnersInvestment Management
Germany. Mexico. United States. Australia. Singapore. United KingdomFull-TimeMiddle
SalaryBase salary commensurate with experience, performance-linked bonus.
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Job Details
- Experience
- Two or more years of experience in a data-driven research environment preferred
- Required Skills
- PythonMachine LearningNumpyPandasscikit-learn
Requirements
- 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, specifically pandas, NumPy, and scikit-learn.
- Experience building backtesting or research frameworks from scratch.
- Solid foundation in statistics, probability, time-series analysis, and machine learning.
- Demonstrated interest in prediction markets via personal trading, research, protocol analysis, or equivalent engagement.
- Ability to work independently and take full ownership of research workstreams.
- Familiarity with Polymarket and/or Kalshi platform mechanics (preferred).
- Knowledge of NLP, sentiment analysis, agentic AI frameworks, Bayesian methods, or blockchain on-chain analytics (preferred).
Responsibilities
- Conduct rigorous quantitative research to identify new alpha signals across sports, macro, political, financial, and environmental events.
- Own the end-to-end research process including data sourcing, exploratory analysis, methodology design, implementation, and backtesting.
- Build and maintain data pipelines using alternative and traditional data sources such as market microstructure and news sentiment feeds.
- Develop and improve models for fair value estimation, calibration analysis, and systematic strategy construction.
- Extend and improve internal research tools, libraries, and workflows.
- Maintain a systematic review of academic and practitioner literature on prediction markets, sports analytics, and Bayesian forecasting.
- Produce clear, structured research outputs and actionable recommendations for traders.
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