Marketplace Quant

Paraform • San Francisco, CA

5h

About The Position

For a Marketplace Quant, we are looking for a strong quantitative background specifically applied to pricing, financial data or risk assessment. We are looking for someone who can fluidly turn quantitative insight into actionable shifts in pricing and payment.
About Paraform:
Paraform is a marketplace modernizing one of the largest and most fragmented markets in the world: hiring. We partner with industry leaders like Cursor, Palantir, Windsurf, Decagon, Shopify, Coinbase, and Hightouch to hire world-class talent, and are growing quickly - 8×-ing revenue last year.
Paraform is the first end-to-end AI recruiting marketplace that connects companies with thousands of specialized recruiters and AI agents that work together to fill roles faster and more accurately.
Our mission is to make hiring fast, reliable, and scalable for every company in the world.
At Paraform, we believe recruiting works best when the right people are working on the right problems, combining human judgment with AI that truly understands hiring.
That’s why we’re building a new foundation for how companies hire, bringing together specialized recruiters and modern AI tools.
We treat recruiters like entrepreneurs, not vendors – and we’re building the financial, operational, and technical infrastructure that powers their success.
We are backed by the best investors and technology leaders: Felicis, A, BOND, Liquid 2, DST Global, the founders of YouTube, Instacart, Canva, and more.

Requirements

• Application to economics (behavioral economics, pricing models, game theory) or financial data is more important than data engineering/coding experience
• Need strong SQL at minimum, ideally experience with python/R for stats
• Best degrees are math/physics, economics, statistics, CS is fine only if the Econ exposure is there
• Top-tier quantitative program or strong financial services background (fintech is good too)

Responsibilities

• Use statistical methods in order to evaluate ML models as they apply to a dynamic marketplace
• Design concrete incentives and comp structures to improve marketplace efficiency
• Work across teams to improve operational processes based on data findings
• Scale tools used to conduct experiments and measure ROI

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed