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, risk modeling, or econometric analysis
📌 Quantitative Finance Forecasting Analyst (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.