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Job Description & How to Apply Below
About
The Role
What if your expertise in quantitative finance could directly shape how AI reasons about markets, models, and financial forecasts? We're looking for Quantitative Finance Forecasting Analysts to evaluate AI-generated predictive models and financial outputs — catching flawed assumptions, identifying data inconsistencies, and ensuring AI-driven forecasting is grounded in sound analytical logic.
This is a fully remote, flexible contract role. No AI background required — just a strong command of quantitative finance, statistical reasoning, and model evaluation.
Organization:
Alignerr
Type:
Hourly Contract
Location:
Remote
Commitment:
Flexible, task-based
What You'll Do
Review and critically evaluate AI-generated predictive model outputs and quantitative data inputs
Validate forecasting assumptions, key drivers, and underlying logic for accuracy and soundness
Summarize expected market or company-level trends and performance scenarios in clear, structured formats
Identify anomalies, inconsistencies, or errors within structured financial datasets
Deliver findings using standardized evaluation frameworks and rubrics
Work independently and asynchronously — fully on your own schedule
Who You Are
Solid background in quantitative finance, statistics, econometrics, or data analysis
Sharp analytical thinker with strong reasoning around model logic, assumptions, and outputs
Comfortable working with structured financial data and interpreting complex quantitative signals
Detail-oriented and consistent — you notice when something doesn't add up
Clear written communicator who can document findings concisely and precisely
No prior AI experience required
Nice to Have
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 applied mathematics
Prior exposure to model validation, backtesting, or quantitative research workflows
Why Join Us
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
Apply your quantitative expertise to directly improve how AI reasons about financial data
Potential for ongoing work and contract extension as new projects launch
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