Remote Quant Finance Forecasting Analyst for AI Validation

Alignerr; New York (NY); On-site; USD 55,000 - 96,000; Full time

Job summary

Alignerr is seeking a Quantitative Finance Forecasting Analyst to evaluate AI-generated model outputs, stress-test forecasts, and ensure rigorous logic in how AI interprets financial data. This remote, hourly contract role offers flexible, task-based work.

You will review model inputs, validate assumptions, summarize trends, and identify anomalies, delivering structured findings and working asynchronously.

Qualifications

• Strong background in quantitative finance, statistics, economics, or data analysis.
• Sharp reasoning for model logic, assumptions, and limitations.
• Experience with structured datasets and interpreting quantitative outputs.
• Clear written and concise summaries of findings.

Responsibilities

• Review and assess quantitative model outputs and data inputs driving them.
• Validate forecasting assumptions, key drivers, and underlying model logic.
• Summarize expected trends, performance scenarios, and forward-looking signals.
• Identify anomalies, inconsistencies, or red flags in structured financial data.
• Deliver clear, structured findings using standardized evaluation formats.
• Work independently and asynchronously - fully on your own schedule.

Skills

Quantitative finance

Statistics

Data analysis

Econometrics

Data interpretation

Python

R

Tools

Python

R

Job description

Alignerr is seeking a Quantitative Finance Forecasting Analyst to evaluate AI-generated model outputs, stress-test forecasts, and ensure rigorous logic in how AI interprets financial data. This remote, hourly contract role offers flexible, task-based work.

You will review model inputs, validate assumptions, summarize trends, and identify anomalies, delivering structured findings and working asynchronously.