Quantitative Finance Forecasting Analyst

Quantitative Finance Forecasting Analyst (AI Training)

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 financial models — stress-testing assumptions, identifying flaws in logic, and helping ensure the AI systems influencing financial decision-making are built on sound, rigorous foundations.

This is a fully remote, flexible contract role. If you have a strong grounding in quantitative finance, statistics, or data analysis and a sharp eye for model logic, this role was built for you.

• Organization:
  Alignerr
• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment:
  Flexible hours — work on your own schedule

• Review and assess AI-generated quantitative model outputs and underlying data inputs
• Validate forecasting assumptions, key drivers, and model logic for soundness and consistency
• Summarize expected trends, performance scenarios, and forward-looking signals
• Identify anomalies, inconsistencies, or errors in structured financial data
• Flag weaknesses in model design or flawed reasoning in predictive frameworks
• Deliver structured, clearly reasoned findings using standardized evaluation formats
• Complete task-based assignments independently on your own schedule

• Strong background in quantitative finance, statistics, econometrics, or data analysis
• Sharp analytical thinker who can interrogate model logic and challenge assumptions
• Detail-oriented and systematic — you notice when numbers or reasoning don't add up
• Comfortable working with structured financial data across market or company-level forecasting contexts
• Clear and concise written communicator who can document findings effectively
• Self-motivated and reliable when working independently without supervision

• Familiarity with Python, R, MATLAB, or other quantitative modeling tools
• Experience in financial modeling, risk analysis, or investment research
• Background in economics, actuarial science, or computational finance
• Prior exposure to model validation, backtesting, or quantitative research workflows
• Familiarity with AI tools or data evaluation platforms

• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Make a direct, tangible impact on how AI understands and reasons about financial data
• Potential for ongoing work and contract extension as new projects launch