Trader — Prediction Markets
About the job
- 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.
- 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.
- 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 is a systematic commodities investment manager that runs market-neutral funds using a technology-driven approach that blends agentic AI, large language models, and machine learning with quantitative research. It processes hundreds of thousands of data points daily across fundamentals like supply and demand, market positioning, and volatility to generate trading signals for more than 100 commodity markets. The firm differentiates itself with an adaptive, data-rich system that evolves with changing market structure, grounded in founders’ deep experience in physical trading and systematic investing, and it offers institutional products designed to match different risk appetites. Its goal is to deliver attractive risk-adjusted returns for institutional investors by exploiting inefficiencies in global commodity markets, including weather-driven dislocations and inflation risks, while maintaining a market-neutral posture.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Delaware
Founded
N/A
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Simplify's Take
What believers are saying
- Bloomberg on 2026-02-23 said MCP seeks $1 billion for its first commodities fund.
- June 2026 launch targets weather-driven dislocations in South African corn, palm oil, and Australian wheat.
- The website on 2026-09-03 shows active fundraising, indicating current institutional outreach and momentum.
What critics are saying
- Millennium already redeemed Farrer, proving LPs can withdraw when performance disappoints.
- MCP Special Opportunities Fund depends on El Niño timing; wrong weather kills the thesis.
- The 2022 SEC alert for Moreton Capital shows name confusion and compliance scrutiny risk.
What makes Moreton Capital Partners unique
- Les Finemore and Al Fullerton combine physical commodities trading with systematic AI research.
- MCP Global Commodities Alpha Fund targets market-neutral returns across 80-plus commodities and 13 sectors.
- MCP AI Lab and proprietary probability models differentiate research, execution, and event-markets strategy.
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Benefits
- Performance Bonus
- Relocation Assistance
- Health Insurance
- Life Insurance
- Paid Vacation