Moreton Capital Partners (MCP) is a CFTC regulated systematic, technology-first investment manager trading across commodities, alternative markets, and emerging data-rich asset classes. We combine quantitative modelling, agentic AI, and deep domain expertise to build strategies with durable, uncorrelated alpha.
We are building a dedicated prediction markets fund and are looking for a Quantitative Analyst to own the research function within that team. This is a ground-up role: you will have genuine ownership of the work, direct access to senior decision-makers, and the opportunity to see your models run live in a real portfolio.
As Quantitative Analyst, you will drive the research process that underpins our prediction markets trading strategies. You will develop alpha signals, build and validate models, and work closely with our traders and engineers to take research from idea to live deployment. You will own projects end to end — from data ingestion and exploratory analysis through to implementation, testing, and performance monitoring.
We operate across a broad event universe including professional sports, macroeconomics, geopolitics, climate, and financial markets. Research breadth and the ability to develop domain expertise quickly are assets here.
Requirements
The best Quantitative Analysts at MCP combine academic rigour with genuine curiosity — they read papers because they want to, follow market resolutions because they are interesting, and build things outside of work because they cannot help it. We value intellectual honesty, the ability to kill your own ideas when the data says so, and the drive to turn good research into production-quality work.
This role is well suited to a researcher who wants to see their work actually trade. Every model you build has a clear path to live deployment, and you will have direct visibility into how your research performs in the market.
Send your CV and a cover letter that demonstrates your genuine engagement with prediction markets and quantitative research. We want to understand what you have built, what you have studied, and how you think about identifying and validating an edge.
Include links to any relevant work: GitHub repositories, research write-ups, Kaggle or competition work, or personal projects. Applications reviewed on a rolling basis. Strong candidates will complete a technical exercise focused on real prediction market data, followed by a research discussion with the team.
Benefits
Compensation
Base salary commensurate with experience, performance-linked bonus. We will discuss specifics with the right candidate.
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