What if you could use your finance expertise to teach AI systems to reason about numbers the way a seasoned analyst does? We're looking for experienced US finance professionals to review AI-generated financial analysis, judge whether it holds up, and correct it where it doesn't.
Quantitative Analyst
Job description
Apply quantitative finance expertise to AI training covering derivatives pricing, risk modeling, algorithmic trading, and statistical arbitrage.
Role details
- Domain: Finance
- Experience level: PhD Required
- Required expertise: Quantitative Finance, Derivatives Pricing, Stochastic Calculus, Python/R, Risk Modeling
- Location: Fully remote
Responsibilities
- Annotate quantitative finance problems and model documentation
- Validate AI-generated pricing and risk model explanations
- Create expert training examples in derivatives, fixed income, and portfolio theory
- Identify mathematical errors in AI quant finance outputs
Requirements
- PhD or MS in finance, mathematics, statistics, or physics
- 3+ years quantitative research or trading experience
- Strong Python, R, and financial mathematics skills
- Excellent technical writing
Benefits
- Fully remote, flexible scheduling
- Work on cutting-edge quantitative AI
- Collaborate with elite quant researchers
Pasiflora AI is an expert network that contracts specialists to review, annotate and validate AI training data in their own field. Screening steps, task volume, time commitment and payment terms are shown on the Pasiflora application page — apply on pasifloraai.com.
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