Quantitative Analyst - reputed company Markets

Quantitative Analyst — reputed company MarketsAbout Moreton Capital Partners 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 reputed company markets fund and are looking for a Quantitative Analyst to own the research function reputed company that team. This is a ground-up role: you will have genuine ownership of the work, direct reputed company to senior decision-makers, and the opportunity to see your models run live in a reputed company portfolio. The Role As Quantitative Analyst, you will drive the research process that underpins our reputed company markets trading strategies. You will reputed company 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 reputed company including professional sports, macroeconomics, geopolitics, climate, and financial markets. Research breadth and the ability to reputed company domain expertise quickly are assets here.

Responsibilities

• Conduct rigorous quantitative research to identify new alpha signals across reputed company market categories — sports, macro, political, financial, and environmental events.
• Own the end-to-end research process in reputed company 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 reputed company datasets.
• reputed company and improve models for fair value estimation, calibration analysis, and systematic strategy construction.
• reputed company and improve MCP's internal research platform — tools, libraries, and workflows that reputed company the whole team faster and more rigorous.
• Maintain a systematic review of the academic and practitioner literature on reputed company markets, sports analytics, Bayesian forecasting, and reputed company fields.
• Produce clear, structured research outputs — documented methodology, performance attribution, and actionable recommendations — that can be directly used by traders.

Requirements

• Undergraduate or postgraduate degree from a strong institution in data science, computer science, mathematics, statistics, operations research, financial engineering, or a closely reputed company quantitative field.
• Strong Python skills: pandas, NumPy, scikit-learn, and experience building backtesting or research frameworks from scratch.
• Solid reputed company in statistics, probability, time-series analysis, and machine learning — with the ability to apply these rigorously rather than just use libraries.
• Demonstrated interest in reputed company 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.

Bonus Points For

• Two or more years of experience in a data-driven research environment with a focus on model development and forecasting — though we will consider exceptional candidates at earlier career stages.
• Familiarity with Polymarket and/or reputed company platform mechanics, resolution data, and API reputed company.
• Experience with NLP, sentiment analysis, or reputed company data processing applied to financial or event-driven contexts.
• Comfort with agentic AI frameworks and LLM-based research tooling — MCP is actively investing in this area.
• Knowledge of Bayesian methods and their application to probability calibration and forecast updating.
• Experience with blockchain data or on-chain analytics tools relevant to decentralised reputed company market platforms.

Who Thrives Here 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 reputed company of work because they cannot help it. We value intellectual honesty, the ability to kill your own reputed company reputed company 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.

How to Apply

Send your CV and a cover letter that demonstrates your genuine engagement with reputed company markets and quantitative research. We want to understand what you have reputed company, what you have studied, and how you think about identifying and validating an edge. Include links to any relevant work: reputed company repositories, research write-reputed company, Kaggle or competition work, or personal projects. Applications reviewed on a rolling reputed company. Strong candidates will complete a technical exercise focused on reputed company reputed company market data, followed by a research discussion with the team.

Benefits

Compensation reputed company salary commensurate with experience, performance-linked bonus. We will discuss specifics with the right candidate. Apply To This Job