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About the role
Key responsibilities & impact- Review and refine AI-generated responses and outputs related to quantitative modeling and analytics
- Evaluate outputs for methodological rigor, validity of modeling approaches, and real-world applicability
- Draft realistic quantitative modeling scenarios, including use cases around statistical analysis, forecasting, financial modeling, and risk assessment
- Assess AI reasoning on topics such as data analysis, model validation, and scenario simulation
- Identify gaps, misinterpretations, or errors in quantitative methodologies and analysis
- Create scenario variations from the perspective of different modeling stakeholders, such as analysts, modeling leads, or business decision makers
Requirements
What you’ll need- A quantitative modeler, analyst, or specialist with deep knowledge of modeling and analytics
- Based in the EU or UK
- With several years of experience in quantitative modeling, data analytics, or finance
- Experienced with modern analytics tools, modeling frameworks, and best practices
- Comfortable identifying technical flaws, unrealistic assumptions, or data integrity issues
- Available 8 to 20 hours per week
- Able to start in the coming weeks
Benefits
Comp & perks- Flexible hours
- Fully remote
- Apply your modeling expertise to advance AI systems
- Contribute to widely used AI products
- Clear project scope and structured onboarding
- Potential for long-term collaboration based on performance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
quantitative modelingdata analyticsstatistical analysisforecastingfinancial modelingrisk assessmentmodel validationscenario simulationmethodological rigordata integrity
Soft Skills
analytical thinkingattention to detailproblem-solvingcommunicationcollaboration
