Quantitative Finance Forecasting Analyst

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 165,000; Full time

Job summary

Alignerr is seeking a Quantitative Finance Forecasting Analyst to evaluate AI-generated predictive models for financial markets. You will review model outputs, validate assumptions, and communicate findings clearly, working asynchronously on a remote, hourly contract.

Ideal candidates have a strong background in quantitative finance, statistics, economics, or data analysis, with hands-on Python or R experience and a detail-oriented mindset for rigorous evaluation.

Qualifications

• Strong background in quantitative finance, statistics, economics, or data analysis.
• Sharp reasoning on model logic, assumptions, and limitations.
• Comfortable with structured financial datasets and interpreting complex outputs.
• Detail-oriented, systematic, and able to translate technical findings clearly.

Responsibilities

• Review quantitative model outputs and their input data.
• Validate forecasting assumptions and identify key drivers of predictions.
• Summarize expected trends and scenarios with clarity and precision.
• Identify anomalies, inconsistencies, or logical gaps in financial data.
• Deliver structured findings using standardized evaluation formats.
• Work independently and asynchronously.

Skills

Quantitative finance

Statistics

Economics

Data analysis

Python

R

Tools

Python

R

Job description

Quantitative Finance Forecasting Analyst (AI Training)

About The Role

What if your quantitative finance expertise could directly shape how AI understands markets, models risk, and interprets financial data for millions of users worldwide? We're looking for Quantitative Finance Forecasting Analysts to evaluate and validate AI-generated predictive models — ensuring the logic is sound, the assumptions hold up, and the outputs make sense in the real world.

This is a fully remote, flexible contract role built for finance and data professionals who think rigorously about numbers. If you can spot a flawed assumption, pressure-test a model, and communicate your findings clearly, this role was made for you.

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

What You'll Do

• Review and assess quantitative model outputs and their underlying data inputs
• Validate forecasting assumptions and identify the 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

Who You Are

• Strong background in quantitative finance, statistics, economics, or data analysis
• Sharp reasoning when it comes to model logic, assumptions, and limitations
• Comfortable working with structured financial datasets and interpreting complex outputs
• Detail-oriented and systematic — you notice when numbers don't add up
• Clear, concise written communicator who can translate technical findings into accessible summaries
• Self-motivated and reliable when working independently without supervision

Nice to Have

• Hands-on experience with Python, R, or other quantitative modeling tools
• Background in financial forecasting, risk modeling, or investment analysis
• Familiarity with AI evaluation workflows or data annotation platforms
• Experience in roles such as quant analyst, actuary, data scientist, or financial modeler

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 deep domain expertise to problems that directly shape how AI reasons about finance
• Potential for ongoing work and contract extension as new projects launch