Prediction Markets Quantitative Researcher

Moreton Capital Partners; Singapore; On-site; SGD 120,000 - 190,000; Full time

Benefits offered by this job

Performance bonus

Live deployment exposure

Ownership of research workflows

Research tooling and platforms

Job summary

Moreton Capital Partners in Singapore is seeking a Quantitative Analyst to own the research function for a dedicated prediction markets strategy. You will develop alpha signals, build and validate models, and work with traders and engineers to move research from idea to live deployment.

You will manage end-to-end projects—from data ingestion and exploratory analysis to implementation, backtesting, and performance monitoring—across a broad event universe including sports, macro and geopolitics.

Qualifications

• Undergraduate or postgraduate degree in data science, computer science, mathematics, statistics, operations research, financial engineering, or 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—applied rigorously, not just library usage.
• Demonstrated interest in prediction markets—personal trading, research, protocol analysis, or equivalent engagement.
• Ability to work independently and take full ownership of a research workstream.

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

Time-series analysis

Statistics

Machine learning

Backtesting frameworks

Education

Bachelor's or Master's in Data Science / CS / Mathematics

Tools

pandas

NumPy

scikit-learn

Job description

Moreton Capital Partners in Singapore is seeking a Quantitative Analyst to own the research function for a dedicated prediction markets strategy. You will develop alpha signals, build and validate models, and work with traders and engineers to move research from idea to live deployment.

You will manage end-to-end projects—from data ingestion and exploratory analysis to implementation, backtesting, and performance monitoring—across a broad event universe including sports, macro and geopolitics.