Quantitative Researcher

🚀 QUANT STRATEGIST

📍 San Francisco, CA — Levi’s Plaza (North Beach)

💰 Compensation up to $400K Base Significant Equity

🏢 Profitable High-Growth Consumer Platform | $65M Raised | Billions in Annual Volume

I’m currently recruiting for a Quant Strategist role with Triumph Labs — a rapidly growing consumer platform operating at the intersection of gaming, probability, quantitative systems, and real-time marketplace economics.

Website: https://triumpharcade.com/

The company processes billions in annual volume across two #1-ranked App Store products and is growing 10x year over year while already profitable with hundreds of millions in revenue.

Backed by General Catalyst, Drive by DraftKings, and Goodwater Capital.

🔥 WHY THIS ROLE STANDS OUT

• Compensation up to $400K cash plus meaningful equity

• Small elite quant team operating like a trading desk

• Real-time quantitative systems touching millions of users and billions in volume

• Direct ownership of pricing engines, payout models, and revenue-driving algorithms

• Immediate feedback loops — ship changes and see business impact the next day

• Work alongside ex-quant traders, elite engineers, and world-class operators

• Collaborate on products tied directly to sports, entertainment, gaming, and culture

• Fast interview process with highly responsive hiring team

🧠 WHAT YOU’LL BE WORKING ON

• Building and optimizing pricing engines and payout structures

• Designing probability and risk models for real-money consumer products

• Solving constrained optimization and game theory problems

• Developing experimentation frameworks and rigorous A/B testing methodologies

• Building ML models related to player behavior, acquisition, and monetization

• Translating quantitative models into real-time production systems

• Partnering closely with engineering, product, and leadership teams

• Contributing to backend engineering when needed

✅ MUST HAVES

• 2–8 years of experience in quantitative research, quantitative trading, applied probability, or statistics

• Strong foundation in probability, statistics, game theory, and mathematical modeling

• Experience solving complex quantitative problems with measurable business impact

• Strong Python and SQL skills

• Ability to operate autonomously on a small, high-performance team

• Experience with experimentation, optimization, forecasting, or risk modeling

• Strong communication and product intuition

⭐ NICE TO HAVE

• Backend engineering experience

• Consumer product experience

• Marketplace, gaming, sports betting, trading, or pricing systems experience

• Machine learning experience related to user behavior or optimization

• Experience building production decision systems

⚠️ NOT A FIT IF

• Traditional consulting or finance-adjacent backgrounds without strong quantitative depth

• Multiple short job stints under one year

• Low ownership or purely analytical/reporting-focused backgrounds

🎯 IDEAL BACKGROUNDS

Candidates from:

• Quant trading firms

• Sports betting / gaming companies

• Consumer ML companies

• Marketplace optimization teams

• Pricing / recommendation / experimentation systems

• Applied research environments with real-world production impact

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