Prediction Markets Trader - Live P&L, Edge Building

Moreton Capital Partners

Singapore

Hybrid

SGD 120,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Performance-linked compensation

Job summary

Moreton Capital Partners is seeking a Trader to manage a live prediction market book across Polymarket and Kalshi. You will develop and own strategies, run live P&L, and collaborate with quant analysts and engineers to refine edge.

We welcome proven practitioners and self-directed candidates who have built models in their own time. You will monitor positions, backtest models, and contribute to research with a focus on execution, risk controls, and edge discovery in high-volume event-driven

Qualifications

  • Direct, hands-on experience trading on Polymarket and/or Kalshi, via personal accounts or professional roles.
  • Strong Python skills: pandas, NumPy, backtesting frameworks, and API integrations built from scratch.
  • Solid foundation in probability, statistics, time-series analysis, and Bayesian inference.
  • Genuine engagement with the prediction markets ecosystem with concrete observations and resolutions.
  • Undergraduate or higher degree in a quantitative discipline, or equivalent demonstrated ability.

Responsibilities

  • Monitor and manage live positions across Polymarket and Kalshi throughout the trading day.
  • Execute strategies including market making, order-flow and book imbalance exploitation, pricing arbitrage, and momentum-based trades.
  • Build and backtest quantitative models using historical tick data, Bayesian methods, and NLP parsing.
  • Collaborate with engineering on execution infrastructure, API integrations, and monitoring.
  • Maintain post-trade analysis: attribution, model performance, and slippage.
  • Contribute ideas to MCP's broader research agenda on agentic AI and multi-signal frameworks.

Skills

Python
Bayesian inference
Time-series analysis
NLP parsing
ML modeling
Quantitative discipline
Probability

Education

Undergraduate or higher degree in a quantitative discipline

Tools

Polymarket
Kalshi
REST APIs
WebSocket
Backtesting frameworks

Job description

Moreton Capital Partners is seeking a Trader to manage a live prediction market book across Polymarket and Kalshi. You will develop and own strategies, run live P&L, and collaborate with quant analysts and engineers to refine edge.

We welcome proven practitioners and self-directed candidates who have built models in their own time. You will monitor positions, backtest models, and contribute to research with a focus on execution, risk controls, and edge discovery in high-volume event-driven

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