What if your quantitative finance expertise could directly shape how AI reasons about markets, models, and economic forecasts? We're looking for Quantitative Finance Forecasting Analysts to evaluate AI-generated predictive models — assessing their logic, validating their assumptions, and identifying where they go wrong.
This is a fully remote, adaptable contract role built for finance and data professionals who think rigorously about numbers and model outputs. No AI background needed — just sharp quantitative instincts and a solid grounding in financial analysis.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: Flexible — work on your own schedule
What You'll Do
• Review AI-generated quantitative model outputs and assess the quality of underlying data inputs
• Validate forecasting assumptions, key drivers, and scenario logic for accuracy and soundness
• Summarize expected trends, performance scenarios, and model-implied conclusions clearly
• Identify anomalies,
inconsistencies, or structural weaknesses in structured financial data
• Flag errors in model reasoning and articulate why they matter
• Deliver findings in standardized evaluation formats with precision and clarity
• Work independently and asynchronously — fully on your own schedule
Who You Are
• Strong background in quantitative finance, statistics, economics, or data analysis
• Confident reasoning about model logic, forecasting assumptions, and analytical frameworks
• Detail-oriented and systematic — you notice when numbers or assumptions don't hold up
• Comfortable working with structured datasets and drawing meaningful conclusions from them
• Clear communicator who can translate complex quantitative findings into concise, structured feedback
• No prior AI experience required
Nice to Have
• Familiarity with Python, R, or other quantitative modeling tools
• Experience with financial forecasting,
📌 Quantitative Finance Forecasting Analyst (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México
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