Prediction Markets Trader
You will own the full lifecycle of trading strategies, from research and backtesting through deployment, monitoring, and iteration. You will run event-neutral, arbitrage, and relative-value strategies; build execution and risk tooling; establish trading guardrails; identify structural market edges; coordinate operational processes; and report performance using trading metrics.
Responsibilities
- Own the full strategy lifecycle, including research, backtesting, deployment, monitoring, and iteration.
- Run event-neutral, arbitrage, and relative-value strategies across multiple venues.
- Build and maintain execution and risk tooling.
- Codify hard limits, pre-trade checks, and post-trade reports with operations.
- Exploit fee, liquidity, settlement, timing, and cross-venue structural edges.
- Coordinate onboarding, KYC, wallets, custody, and daily P&L with operations.
- Report hit rates, expected value versus realized results, and Sharpe Ratio.
Requirements
- Have 2+ years of systematic or semi-systematic trading, sports or exchange betting, options arbitrage, or market-making experience.
- Have 12+ months of real-capital trading experience on Kalshi, Polymarket, or an equivalent venue, with verifiable P&L.
- Have deployed live strategies through adverse market regimes and liquidity droughts.
- Know Python, including pandas, NumPy, and asynchronous I/O.
- Know APIs, WebSockets, and basic SQL.
- Understand portfolio construction under capital and counterparty or exchange risk constraints.
- Have crypto-native and traditional finance experience involving controls, auditability, and operational and compliance handoffs.