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Remote Quant Trader – Prediction Markets
QNT Partners
Dubai, UAE
Full Time
Mid
Remote
1 months ago
Quantitative TradingMarket MakingStatistical ArbitragePythonC++Rust
Free
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Quantitative TradingMarket MakingStatistical Arbitrage
About the Role
A quant trading firm is hiring a strategy owner to trade binary event contracts across regulated and crypto-native prediction markets. The role involves designing, backtesting, and deploying systematic strategies with full P&L accountability.
Key Skills for This Role
Quantitative TradingMarket MakingStatistical ArbitragePythonC++Rust
Responsibilities
- Manage live capital across multiple venues with full P&L ownership
- Build probability models to detect mispricing and optimize sizing
- Develop trading infrastructure (Python/C++/Rust) interfacing with exchange APIs and blockchain RPCs
- Monitor markets in real time during high impact events (elections, FOMC, major sports)
- Integrate alternative data (sentiment, web traffic, on chain flows) into pricing models
Requirements
- 2+ years in quant trading, market making, or stat arb at a prop shop, hedge fund, or HFT firm
- Live trading experience on Kalshi or Polymarket strongly preferred
- Strong Python (pandas, asyncio); low latency systems experience (C++/Rust/Go) a plus
- Solid grounding in probability theory, Bayesian updating, and binary risk management
Full Job Posting
The Role
- You'll own a live book end to end — designing, backtesting, and deploying systematic strategies across the full alpha spectrum: market making, statistical arb, and directional event plays.
- Full P&L accountability from day one.
Responsibilities
- Manage live capital across multiple venues with full P&L ownership
- Build probability models to detect mispricing and optimize sizing
- Develop trading infrastructure (Python/C++/Rust) interfacing with exchange APIs and blockchain RPCs
- Monitor markets in real time during high impact events (elections, FOMC, major sports)
- Integrate alternative data (sentiment, web traffic, on chain flows) into pricing models
Qualifications
- 2+ years in quant trading, market making, or stat arb at a prop shop, hedge fund, or HFT firm
- Live trading experience on Kalshi or Polymarket strongly preferred
- Strong Python (pandas, asyncio); low latency systems experience (C++/Rust/Go) a plus
- Solid grounding in probability theory, Bayesian updating, and binary risk management
Bonus
- Market making bot or stat arb system built from scratch
- Blockchain/EVM familiarity
- Background in political science, economics, or sports analytics
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