Remote Quantitative Finance Forecasting Analyst

Alignerr; Seattle (WA); On-site; USD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking Quantitative Finance Forecasting Analysts to evaluate AI-generated predictive models and validate their assumptions using structured financial data and rigorous reasoning. You will review model outputs, identify drivers behind predictions, summarize expected trends with clarity, and flag anomalies.

Work asynchronously on a flexible, task-based schedule in a remote contract role; Python or R experience is a plus.

Qualifications

• Strong background in quantitative finance, statistics, economics, or data analysis.
• Sharp reasoning for model logic, assumptions and limitations.
• Comfortable with structured financial datasets and interpreting complex outputs.
• Detail-oriented and systematic in spotting inconsistencies.
• Clear written communicator able to translate findings for non-technical stakeholders.

Responsibilities

• Review and assess quantitative model outputs and their underlying data inputs.
• Validate forecasting assumptions and identify key drivers behind predictions.
• Summarize expected trends and performance scenarios with clarity and precision.
• Identify anomalies, inconsistencies, or logical gaps in structured financial data.
• Deliver structured findings using standardized evaluation formats.
• Work independently and asynchronously — on your own schedule.

Skills

Quantitative finance

Statistics

Economics

Data analysis

Model evaluation

Independent work

Tools

Python

R

Job description

Alignerr is seeking Quantitative Finance Forecasting Analysts to evaluate AI-generated predictive models and validate their assumptions using structured financial data and rigorous reasoning. You will review model outputs, identify drivers behind predictions, summarize expected trends with clarity, and flag anomalies.

Work asynchronously on a flexible, task-based schedule in a remote contract role; Python or R experience is a plus.