Moreton Capital Partners is seeking a Machine Learning Researcher to join our team.
We are live trading across global commodity futures, supported by an investment process rooted in machine learning.We trade global commodity futures using machine learning, alternative data, and institutional-grade portfolio construction.
Our edge comes from research depth, disciplined experimentation, and robust production systems.This role is for an applied ML specialist with several years of experience building and shipping models.
A PhD is a plus, not required.
You will work directly with the CIO and sit alongside the quant research team to turn ML ideas into live trading signals.
Your research will ship to production and directly impact portfolio returns.What you will work onDesigning predictive models for cross-sectional and time-series commodity returnsDeveloping and improving features from price, weather, satellite, cash pricing, macro, and alternative datasetsImproving signal robustness and reducing overfitting through rigorous validationCombining and blending multiple models into portfolio-level forecastsRegime detection, meta-models, and adaptive allocation frameworksModel diagnostics, explainability, and stability analysisTranslating research ideas into production-ready implementationsCollaborating with engineers to deploy models into live trading systemsKey ResponsibilitiesFormulate research hypotheses and test them using clean, time-aware ML pipelinesBuild and evaluate models (tree-based, linear, ensemble, deep learning, etc.)Run walk-forward and out-of-sample experiments with realistic costsAnalyze information coefficients, turnover, drawdowns,



and risk-adjusted returnsDesign feature engineering frameworks and reusable research toolingDocument findings clearly and communicate results to portfolio managersContribute to improving research standards, reproducibility, and processesRequirementsRequirementsSeveral years of applied machine learning experience in industry or a similarly production-oriented research environmentStrong Python skills and experience with scientific computing stacksDeep understanding of statistical learning and model validationExperience working with large datasets and experimental pipelinesAbility to move from theory to practical implementationIntellectual curiosity and strong problem-solving mindsetComfortable working in a fast-paced, high-ownership environmentBonusPhD in Machine Learning, Statistics, Applied Mathematics, Computer Science, Physics, Engineering, or a related quantitative fieldExperience with financial markets or systematic tradingFamiliarity with time-series modelling or forecastingExperience with LightGBM/XGBoost, deep learning, or ensemble methodsExposure to portfolio construction or risk modellingExperience with cloud or distributed compute environmentsPublished research or strong applied projectsWhy this role is uniqueDirect impact: your research drives live trading capitalResearch freedom: explore ideas with fast feedback loopsReal-world data: large, messy, multi-source datasetsSmall team: high ownership and rapid iterationStrong learning curve across ML, markets, and portfolio constructionClear path into Senior Researcher or Portfolio Manager responsibilitiesBenefitsMarket leading benefitsHigh responsibility from day oneAttractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off.Positive, inclusive and encouraging work environment.Close collaboration across a integral team.

📌 Machine Learning Researcher - Systematic Commodities Hedge Fund (Xico)
🏢 Moreton Capital Partners
📍 Xico