Quant Strategist: High-Impact Pricing & ML

triumph-arcade; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Lunch credit

Healthcare

Vision

Dental

401k

Job summary

Triumph is seeking a Quant Strategist to join a lean, high-output team in San Francisco. You will develop pricing engines, payout structures, and risk models that directly influence revenue and player experience.

You’ll own the quantitative framework for Triumph’s core products and drive experiments from design to production. You will build ML models to inform acquisition and product decisions, working closely with engineering, product, and leadership to deploy results in real time.

Qualifications

• Bachelor's degree in a quantitative subject.
• True depth and mastery over any quantitative domain: probability, statistics, applied machine learning, math.
• Proficiency in Python and SQL.
• Experience working with large amounts of data.

Responsibilities

• Develop and optimize core risk-taking and revenue-generating algorithms—pricing engines, payout structures, and edge calculations.
• Own the quantitative framework for Rips by Triumph: pricing models, pack economics, and rarity calibration.
• Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology.
• Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.
• Partner closely with engineering, product, and leadership to translate model outputs into real-time production systems and strategic decisions.
• Design and build machine learning models that directly inform acquisition spend and product decisions.

Skills

Quantitative reasoning

Statistics

Machine learning concepts

Education

Bachelor's degree in a quantitative subject

Tools

Python

SQL

Job description

Triumph is seeking a Quant Strategist to join a lean, high-output team in San Francisco. You will develop pricing engines, payout structures, and risk models that directly influence revenue and player experience.

You’ll own the quantitative framework for Triumph’s core products and drive experiments from design to production. You will build ML models to inform acquisition and product decisions, working closely with engineering, product, and leadership to deploy results in real time.