Quantitative Finance Forecasting Analyst

Alignerr Corp.; Toronto; Remote; CAD 55,000 - 110,000; Part time

Job summary

Alignerr is seeking a Quantitative Finance Forecasting Analyst to evaluate AI-generated outputs and data inputs for forecasting accuracy. This fully remote, hourly contract role emphasizes rigorous statistical reasoning and model validation.

You’ll work asynchronously on flexible tasks, with opportunities for ongoing engagements based on project needs. Strong background in quantitative finance, statistics, econometrics, or data analysis is required.

Qualifications

• Solid background in quantitative finance, statistics, econometrics, or data analysis.
• Strong analytical reasoning about model logic, assumptions, and outputs.
• Experience with structured financial data and evaluating model outputs.

Responsibilities

• 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.

Skills

Quantitative finance

Statistics

Econometrics

Data analysis

Model evaluation

Structured data analysis

Tools

Python

R

MATLAB

Job description

Quantitative Finance Forecasting Analyst (AI Training)

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