Prediction Market Quantitative Trader
New York, NY$140k - $250k + equityFull-timePosted 1mo ago
About the role
Quantitative Trader role at Totalis, building pricing and risk systems for prediction market parlay and combo trades. Focus on deriving fair values, modeling correlations, setting executable prices, and managing portfolio risk at an early-stage startup.
Responsibilities
- Develop and operate the pricing and risk systems behind prediction market parlays and combo trades
- Determine fair values for combos
- Model correlations between event contracts
- Set executable prices
- Manage the portfolio risk (risk management)
- Collaborate with founders on core infrastructure for prediction markets
- Pricing contracts without standardized models or conventions
Qualifications
- Experience with quoting RFQs on other prediction markets (Kalshi or Polymarket)
- Familiar with exchange microstructure, liquidity, and adverse selection
- Strong understanding of probability and statistics
- Experience pricing or trading sports, prediction markets, or other trad-fi derivatives
- Experience with modeling approaches (e.g., Monte Carlo simulation, copulas, graphical models, Bayesian networks, or multivariate probability models)
- Extremely high ownership and comfort operating in an early-stage startup environment
Skills
Required:PythonQuantitative analysis
Last updated Oct 25, 2026. Interested? Apply on the company site.
More open roles at Totalis
- Founding GTM4w agoHybrid (New York City, NY / Remote (US)) · Marketing