Open roles

· Quantitative trading

Prediction Market Quantitative Trader

Totalis

On-siteListed 10d ago
Apply now

Backed by

Y Combinator

HQ

🇺🇸 San Francisco

Open roles

2

Experience Not stated in the posting - worth applying if the stack matches

About the role

structured by ORI

← All open rolesThe workWe are hiring a Quantitative Trader to develop and operate the pricing and risk systems behind prediction market parlays and combo trades.You will determine fair values for combos, model correlations between event contracts, set executable prices, and manage the portfolio risk. This role sits…

What you will do

  • Determine fair values for combos, model correlations between event contracts, set executable prices, and manage the portfolio risk.

What they are looking for

  • 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 TradFi derivatives
  • Experience with one or more relevant modeling approaches, such as Monte Carlo simulation, copulas, graphical models, Bayesian networks, or multivariate probability models
  • Extremely high ownership and comfort operating in an early-stage startup environment
derivatives pricingsports tradingquantitative researchmarket makingprobabilitystatisticsMonte Carlo simulationcopulasKalshiPolymarket
Full posting text

← All open rolesThe workWe are hiring a Quantitative Trader to develop and operate the pricing and risk systems behind prediction market parlays and combo trades.You will determine fair values for combos, model correlations between event contracts, set executable prices, and manage the portfolio risk. This role sits at the intersection of quantitative research, sports trading, derivatives pricing, and real-time market making.What we are looking forExperience with quoting RFQs on other prediction markets (Kalshi or Polymarket)Familiar with exchange microstructure, liquidity, and adverse selectionStrong understanding of probability and statisticsExperience pricing or trading sports, prediction markets, or other TradFi derivativesExperience with one or more relevant modeling approaches, such as Monte Carlo simulation, copulas, graphical models, Bayesian networks, or multivariate probability modelsExtremely high ownership and comfort operating in an early-stage startup environmentWhy TotalisWork on a new financial product category at the intersection of prediction markets, sports trading, and derivativesPrice contracts that do not yet have standardized models or established market conventions, and work with proprietary cross-venue market and RFQ dataJoin an early team building foundational infrastructure for the prediction market ecosystemAbout the interviewA clear, focused process01Founder conversationA short intro call to understand your background, your trading experience, and what you want next. We’ll share the problem we are solving and leave time for your questions.02Short take-home exerciseA small project designed to show your approach to market making. You’ll walk us through your strategies and the tradeoffs you made.03Final working sessionIf there is strong mutual interest, we’ll bring you out to spend time with the team and work together.04DecisionWe aim to make a clear decision and, when there is a strong fit, extend an offer within a week of the final conversation.Interested?Help us build what happens next.Apply for this role↗

Apply