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Moreton Capital Partners

Systematic commodities investment manager using AI

Trader — Prediction Markets

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours
Full-timeRemote in MexicoNo salary listedRemote

About the Job

Requirements

  • Direct, hands-on experience trading on Polymarket and/or Kalshi through personal accounts, proprietary systems, or professional roles, with specific markets traded, strategies used, and edges identified.
  • Strong Python skills, including pandas, NumPy, backtesting frameworks, and building API integrations from scratch.
  • A solid foundation in probability, statistics, time-series analysis, and Bayesian inference.
  • Demonstrable engagement with the prediction markets ecosystem, including knowledge of recent resolutions, platform mechanics, and structural observations.
  • An undergraduate or higher degree in a quantitative discipline, or equivalent demonstrated ability.

Responsibilities

  • Monitor and manage live positions across Polymarket (CLOB, Gamma, and Subgraph APIs) and Kalshi (REST and WebSocket) throughout the trading day.
  • Execute dynamic market making with real-time skew adjustment, exploit order flow and book imbalance, pursue cross-platform pricing arbitrage and news and event momentum, and apply mean reversion to statistically related contract pairs.
  • Build and backtest quantitative models using historical tick data, Bayesian probability frameworks, NLP-driven news parsing, and machine-learning-based fair value estimation.
  • Collaborate with engineering on execution infrastructure, including API integrations, order routing, position monitoring, and anomaly detection.
  • Conduct post-trade analysis covering attribution, model performance, slippage, and strategy-decay monitoring.
  • Contribute ideas to the broader research agenda applying agentic AI and multi-signal frameworks to event-driven alpha.

Desired Qualifications

  • A live profitable track record in prediction markets, options, or event-driven strategies, including at personal scale.
  • Experience with blockchain and DeFi tooling, including Polygon RPC, USDC wallet management, and ethers.js or equivalent.
  • Familiarity with low-latency execution, FIX protocol, or Web3 API infrastructure.
  • Domain depth in high-volume event categories such as professional sports analytics, macroeconomics, geopolitics, or climate.
  • Interest in or experience with agentic AI applied to trading.

About the Company

Moreton Capital Partners

Systematic commodities investment manager using AI

Moreton Capital Partners runs market-neutral commodity funds using a technology-driven approach that blends agentic AI, large language models, machine learning, and quantitative research to find relative-value opportunities across energy, metals, and agriculture. It processes hundreds of thousands of data points per day—covering supply and demand, market positioning, and volatility—to generate trading signals that guide fund allocations and risk controls in over 100 commodities. The firm differentiates itself with an adaptive, data-rich method that evolves with changing market structure and a team with deep experience in both physical trading and systematic investing, focusing on institutional clients seeking stable returns rather than simple price bets. Its goal is to deliver attractive risk-adjusted returns for institutions by exploiting inefficiencies and weather-related or inflation risks while keeping a market-neutral posture.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Delaware, United States
Founded
Not listed

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