Job Description
We are looking for an Associate - Marketplace Quant for a Series-B RecruitmentTech startup. We are looking for a strong math background specifically applied to pricing, financial data or risk assessment.
What you will do:
- Shape the structural design of the marketplace — the financial products (subsidies, pricing schemes, payouts) and matching mechanics that govern how it clears. This is greenfield work, not incremental tuning, and the design directly informs how the marketplace runs.
- Apply causal-inference methods to ROI: fixed effects, propensity-score matching, instrumental variables, regression discontinuity
- Pre-register experiments: power, stratification, and analysis plans up front
- Partner with product, GTM, and ops as the measurement function: success metrics, instrumentation, and audits of experiments other teams run
- Write decision memos for product, GTM, and leadership
Qualifications
- 1 YOE in 2-sided marketplace/finance OR standout undergrad or graduate research
- Coursework on economics (behavioral economics, pricing models, game theory)
- Demonstrated causal-inference work — at least one method applied deeply
- Python experience in stats + ability to build a model for production