Quant Strategist

Triumph, LLC; San Francisco (CA); Sur place; USD 180 000 - 300 000; Plein temps

Avantages offerts par ce poste

Lunch credit

Healthcare

Vision

Dental

401k

Résumé du poste

Triumph, LLC in San Francisco is seeking a Quant Strategist to join a small, high-output team shaping core business decisions through quantitative rigor. You’ll build models powering pricing engines, payouts, matchmaking, and risk, directly affecting revenue and player experience.

You’ll operate like a trading desk, delivering production-ready results that you can see in the numbers the next day. The role emphasizes ownership, rapid feedback, and collaboration with engineering and leadership.

Qualifications

• Bachelor's degree in a quantitative field (math, physics, CS, data science, or related).
• Depth and mastery in probability, statistics, applied ML, CS, or math. We seek top performers in their discipline.
• Experience working with large amounts of data.

Responsabilités

• Develop and optimize core risk-taking and revenue-generating algorithms—the pricing engines, payout structures, and edge calculations for Triumph's business.
• 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 methods.
• Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.
• Partner with engineering, product, and leadership to translate model outputs into real-time production systems and strategic decisions.
• Design and build machine learning models that inform acquisition spend and product decisions.

Connaissances

Python

SQL

Data analysis

Statistical modeling

Formation

Bachelor's degree in quantitative subject

Outils

Pandas

NumPy

Scikit-learn

Description du poste

The Role

As a Quant Strategist, you'll sit at the intersection of mathematics, computer science, and core business decisions. You'll have a direct impact on all facets of the business, applying your quantitative rigor directly to what drives revenue and player experience. You'll build the models and frameworks that power our most critical business decisions.

You're joining a small, high-output quant team (4 people today) that operates more like a trading desk than a data org. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems.

The team is led by a former quant trader, and current members left careers in quantitative trading to be here. The problems are as deep and interesting as at a quant fund – constrained optimization, adversarial dynamics, real‑money risk – but with more ownership, faster feedback loops, and direct impact on what gets built. You ship something, and you see it in the numbers the next day.

What You'll Do

• Develop and optimize core risk‑taking and revenue‑generating algorithms – the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's business.
• 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.

Qualifications

• Bachelor's degree in a quantitative subject: math, physics, computer science, data science, or a related discipline.
• True depth and mastery over any quantitative domain: probability, statistics, applied machine learning, computer science, or math. We want spiky people who are confident that they are the best in their discipline.
• Proficiency in Python and SQL.
• Experience working with large amounts of data.

Preferred

• Prior experience as a quantitative trader or quantitative researcher.
• Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.
• Nationally competitive in any activity. Some members from our company include national champions in debate, Clash Royale, and Poker.

Why Triumph?

• High growth. Build a high‑scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.
• High agency. Small, high‑impact engineering team that is growing rapidly with significant opportunity for leadership and growth.
• High energy. Passionate team who are proud of our work and velocity (16x year over year growth).
• Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.

Our team gathers 5 days a week at Triumph's headquarters at Levi's Plazain San Francisco.