Traders - Prediction Markets
Moreton Capital Partners
| Company | Moreton Capital Partners |
| Category | Finance |
| Location | Germany |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 1 Jun 2026 |
| Last verified | 7 Aug 2026 |
| Source | Employer ATS (workable) |
Description
Traders — Prediction Markets About Moreton Capital Partners Moreton Capital Partners (MCP) is a CFTC regulated systematic, technology-first investment manager trading across commodities, alternative markets, and emerging data-rich asset classes. We combine quantitative modelling, agentic AI, and deep domain expertise to build strategies with durable, uncorrelated alpha. Prediction markets are one of the firm's high-conviction growth areas. We are building a dedicated strategy, partnering and trading on world leading event contract platforms, and are hiring global traders to join the team and run a small live book from day one. The Role As a Trader, you will execute and actively manage a live portfolio of prediction market positions. You will develop and own a suite of strategies, reporting into a Portfolio Manager and accessing quant analysts to continuously refine our edge. This is an execution-first role: you are on the tools, managing live positions, and responsible for real P&L. We are equally interested in proven practitioners and sharp, self-directed candidates earlier in their careers who can demonstrate they have already been doing this seriously on their own. Key Responsibilities Monitor and manage live positions across Polymarket (CLOB, Gamma, Subgraph APIs) and Kalshi (REST, WebSocket) throughout the trading day. Execute strategies including: dynamic market making with real-time skew adjustment, order-flow and book imbalance exploitation, cross-platform pricing arbitrage, news and event momentum, and mean-reversion on statistically related contract pairs. Build and backtest quantitative models using historical tick data, Bayesian probability frameworks, 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 thorough post-trade analysis: attribution, model performance, slippage, and strategy decay monitoring. Contribute ideas to the broader research agenda — prediction markets sit within MCP's wider effort to apply agentic AI and multi-signal frameworks to event-driven alpha.