Quantitative Finance Forecasting Analyst

Alignerr Corp.; New York (NY); Remote; USD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking a Quantitative Finance Forecasting Analyst (AI Training) for a fully remote hourly contract. You will evaluate AI-generated model outputs, stress-test assumptions, and ensure rigorous logic underpins financial forecasting within structured datasets.

The role emphasizes independent, asynchronous work on flexible project-based tasks, with opportunities for ongoing engagements as new projects launch.

Qualifications

• Background in quantitative finance, statistics, economics, or data analysis.
• Ability to reason about model logic, assumptions, and limitations.
• Experience with structured datasets and interpreting quantitative outputs.

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

Model validation

Tools

Python

R

Job description

Quantitative Finance Forecasting Analyst (AI Training)

About The Role

What if your expertise in quantitative finance and predictive modeling could directly shape how AI understands markets, forecasts performance, and interprets structured financial data? We're looking for Quantitative Finance Forecasting Analysts to evaluate AI-generated model outputs, stress-test forecasting assumptions, and help ensure that the AI systems influencing financial decision-making are built on sound, rigorous logic.

This is a fully remote, flexible contract role designed for finance and data professionals who think critically about models, numbers, and the assumptions underneath them.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: Flexible, task-based

What You'll Do

• Review and assess quantitative model outputs and the 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

Who You Are

• Strong background in quantitative finance, statistics, economics, or data analysis
• Sharp reasoning skills when it comes to model logic, assumptions, and limitations
• Comfortable working with structured datasets and interpreting complex quantitative outputs
• Detail-oriented and systematic - you catch what others miss
• Clear communicator who can translate technical findings into concise written summaries
• Self-motivated and reliable when working independently without supervision

Nice to Have

• Familiarity with Python, R, or other quantitative modeling tools
• Experience in financial modeling, risk analysis, econometrics, or investment research
• Background in equity research, asset management, or quantitative strategy
• Prior exposure to model validation, back-testing, or scenario analysis 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
• Make a direct, tangible impact on how AI reasons about financial data and forecasting
• Potential for ongoing work and contract extension as new projects launch