Quantitative Trader - Sports Prediction Markets
Raven is a proprietary high-frequency trading and market-making firm. It provides institutional liquidity across crypto, DeFi, centralized exchanges, prediction markets, and traditional financial venues for exchanges and token issuers.
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About Raven
Raven is a proprietary algorithmic high-frequency trading firm focused on liquidity provision and market making. It operates across centralized and decentralized crypto venues, prediction markets, and traditional financial markets, using low-latency trading infrastructure and its own capital. Raven offers liquidity programs for token issuers, multi-venue coverage, TGE market making, and anchor-liquidity engagements for new exchanges and market venues.
Skills
About the Role
You will turn team and player information into probability distributions and quote two-sided prices on discrete outcomes. You will update markets for injuries lineups and in-play events while managing spreads size and inventory. You will validate models against historical data avoid look-ahead bias and manage resolution correlation and position risk.
Requirements
- Demonstrated skill forecasting real-world events for money with quantitative evidence
- Ability to explain model validation and evidence against a model
- Strong applied statistics
- Knowledge of Bayesian inference hierarchical models and time-varying team strength
- Machine-learning judgment
- Strong data instincts with odds histories lineups injuries and results
- Ability to identify look-ahead bias in backtests
- Fluent English
- No degree required
Responsibilities
- Build event models from team and player state
- Estimate probabilities using ratings lineups pace venue weather and referee effects
- Quote two-sided prices on discrete outcomes
- Manage spreads size and inventory
- Reprice markets for injuries lineups red cards and delayed starts
- Implement suspension logic for live markets
- Evaluate contract resolution rules
- Size positions and manage correlated exposure
Hiring Process
Four stages. No filler rounds, no games. 1. Intro call: short conversation with the hiring lead, context on the role/firm, understand fit. 2. Technical deep-dive: role-specific, understand how you think. 3. Take-home or case: a scoped problem reflecting actual work, review the output with you. 4. Onsite or final round: meet the broader team, cultural fit, stretch discussion, offers move fast after this.
