Prediction Markets Trader | Live P&L, Edge Builder

Moreton Capital Partners; Australia; On-site; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Performance-based pay

Job summary

Moreton Capital Partners in Australia is seeking a Trader to manage a live prediction market portfolio, executing and refining edge-driven positions across Polymarket and Kalshi.

You will build quantitative models, backtest strategies, and collaborate with engineers. The role suits proven practitioners or sharp, self-directed early-career candidates who can show they have traded seriously on their own.

Qualifications

• Direct, hands-on experience trading on Polymarket and Kalshi.
• Strong Python skills: pandas, NumPy, backtesting frameworks, API integrations built from scratch.
• Solid foundation in probability, statistics, time-series analysis, and Bayesian inference.
• Genuine, demonstrable engagement with the prediction markets ecosystem and platform mechanics.

Responsibilities

• Monitor and manage live positions across Polymarket and Kalshi during the trading day.
• Execute strategies including dynamic market making, order-flow and book imbalance exploitation, cross-platform pricing arbitrage, momentum, and mean-reversion.
• Build and backtest quantitative models using historical tick data, Bayesian methods, NLP-driven news parsing, and ML-based fair value estimation.
• Collaborate with engineering on execution infrastructure—API integrations, order routing, position monitoring, and anomaly detection.
• Maintain post-trade analysis: attribution, model performance, slippage, and strategy decay monitoring.
• Contribute ideas to MCP's research agenda — applying agentic AI and multi-signal frameworks to event-driven alpha.

Skills

Hands-on trading

Quantitative thinker

Self-starter

Education

Undergraduate or higher in a quantitative discipline

Tools

Polymarket

Kalshi

Python (Pandas/NumPy)

Job description

Moreton Capital Partners in Australia is seeking a Trader to manage a live prediction market portfolio, executing and refining edge-driven positions across Polymarket and Kalshi.

You will build quantitative models, backtest strategies, and collaborate with engineers. The role suits proven practitioners or sharp, self-directed early-career candidates who can show they have traded seriously on their own.