Quantitative analysts and researchers review AI pricing, time-series and risk work and write expert demonstrations of real quant workflows. Suits practitioners with hands-on quant research, trading or risk modelling experience.
Sobre la vacante
<p>Quantitative researchers and analysts build expert-level evaluation and training data for frontier AI labs.</p>
<p>AfterQuery partners with frontier AI labs to build expert-level evaluation and training data. We are hiring quantitative analysts and researchers as contractors to review, create, and rank quantitative finance content that teaches AI models how real quant work is done. You will evaluate AI-generated derivatives pricing, time-series analysis, portfolio construction, and risk modeling for technical rigor, and create expert demonstrations drawn from your own practice.</p>
<p>The work is paid hourly, fully remote, and fully async - you choose when and how much you work.</p>
Responsibilities:
- Evaluate AI-generated quantitative analysis for mathematical rigor
- Create expert demonstrations of pricing, portfolio, and risk modeling workflows
- Rank and label model responses against quantitative best practices
Required qualifications:
- Advanced degree in mathematics, statistics, physics, CS, or quantitative finance, or equivalent experience
- 2+ years in quantitative research, trading, or risk modeling
- Fluency with Python, R, or C++ for quantitative work
Fuente oficial: experts.afterquery.com. Los detalles pueden cambiar; la página de la plataforma tiene la última palabra.¿Hay algún error en esta oferta? Avísanos.
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