Key skills
AIAnalyticsStatistical AnalysisCollaboration
About this role
Role Overview
- Review and critique AI-generated responses and outputs related to model validation, quantitative modeling, and analytics
- Assess rigor and accuracy in methodologies, ensure validity of results, and verify adherence to real-world modeling standards
- Draft and enhance realistic model validation scenarios, spanning use cases such as model risk assessment, stress testing, statistical analysis, and regulatory compliance
- Evaluate AI reasoning on topics like data validation, parameter selection, and scenario evaluation
- Identify gaps, unrealistic conclusions, or methodological errors in modeling or analysis
- Create scenario variations from the perspective of different stakeholders, such as model validators, risk leads, analysts, and business decision makers
Requirements
- Experienced in model validation, quantitative analytics, or risk modeling
- Based in the EU or UK
- Several years' experience in financial modeling, model risk, or data analytics
- Skilled with modern modeling frameworks, statistical tools, and best practices
- Strong analytical eye for technical flaws, data issues, or unrealistic assumptions
- Available 8–20 hours per week
- Able to start within the next few weeks
Benefits
- Flexible hours; work from anywhere in the EU/UK
- Apply your modeling validation expertise in innovative AI domains
- Contribute to high-impact, widely used AI products
- Clear scopes and straightforward onboarding
- Potential for ongoing collaboration