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Job description
We are looking for a strong quantitative background specifically applied to pricing, financial data or risk assessment. The ideal candidate can fluidly turn quantitative insight into actionable shifts in pricing and payment.
Use statistical methods to evaluate ML models, design incentives and comp structures, work across teams to improve operational processes, and scale tools to conduct experiments and measure ROI.
The ideal candidate has a strong quantitative background, experience with SQL, Python, or R, and a degree in math, physics, economics, statistics, or CS with Econ exposure.
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Paraform is a next-generation hiring platform leveraging the power of AI and expert recruiters to deliver exceptional talent acquisition solutions. The company’s core offering is an AI-powered recruiter marketplace designed to accelerate the hiring process for critical roles. Paraform distinguishes itself by combining the efficiency of custom AI agents with the expertise of human recruiters, resulting in faster, more effective placements. Serving a diverse clientele including Palantir, Rippling, and Thomson Reuters, Paraform has already supported over 1,000 companies in building high-performing teams. Backed by leading venture capital firms and prominent founders in the tech industry, Paraform presents a dynamic and innovative environment for professionals seeking to impact the future of hiring.