Quantitative Finance Forecasting Analyst

Alignerr Corp.

Atlanta (GA)

Remote

USD 83,000 - 165,000

Part time

2 days ago
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Benefits offered by this job

Fully remote

Job summary

Alignerr is seeking a Quantitative Finance Forecasting Analyst (AI Training) for an hourly remote contract. You will evaluate AI-generated financial models, validate inputs and logic, and help ensure robust, trustworthy AI reasoning for markets and forecasts.

The role suits finance and data professionals who think critically about numbers, spot flawed assumptions, and deliver clear findings on a flexible schedule.

Qualifications

  • Background in quantitative finance, statistics, econometrics, or data analysis.
  • Ability to interrogate model logic and spot weak assumptions.
  • Experience with structured data and interpreting quantitative outputs.
  • Detail-oriented and systematic; communicates findings clearly.

Responsibilities

  • Evaluate AI-generated quantitative model outputs and assess whether inputs, logic, and assumptions hold up.
  • Validate key forecasting drivers and flag inconsistencies, errors, or unrealistic assumptions.
  • Summarize expected trends and performance scenarios in clear, structured formats.
  • Identify anomalies in structured financial and statistical data.
  • Deliver findings using standardized evaluation frameworks designed for AI training.
  • Work independently and asynchronously — fully on your own schedule.

Skills

Quantitative finance
Statistics
Econometrics
Data analysis
Analytical thinking
Model validation
Written communication
Independent work

Tools

Python
R
MATLAB

Job description

Quantitative Finance Forecasting Analyst (AI Training)
About The Role

What if your quantitative finance expertise could directly shape how AI reasons about markets, models, and economic forecasts? We're looking for Quantitative Finance Forecasting Analysts to evaluate AI-generated predictive models — validating assumptions, scrutinizing outputs, and helping ensure that the financial reasoning AI produces is rigorous, coherent, and trustworthy.

This is a fully remote, flexible contract role built for finance and data professionals who think critically about numbers. If you can spot a flawed assumption or a broken model logic chain, this role was made for you.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: Flexible hours, work at your own pace
What You'll Do
  • Evaluate AI-generated quantitative model outputs and assess whether inputs, logic, and assumptions hold up
  • Validate key forecasting drivers and flag inconsistencies, errors, or unrealistic assumptions
  • Summarize expected trends and performance scenarios in clear, structured formats
  • Identify anomalies in structured financial and statistical data
  • Deliver findings using standardized evaluation frameworks designed for AI training
  • Work independently and asynchronously — fully on your own schedule
Who You Are
  • Strong background in quantitative finance, statistics, econometrics, or data analysis
  • Sharp analytical thinker who can interrogate model logic and spot weak assumptions
  • Comfortable working with structured data and interpreting complex quantitative outputs
  • Detail-oriented and systematic — you don't let inconsistencies slip through
  • Clear written communicator who can distill technical findings concisely
  • Self-motivated and reliable when working independently without supervision
Nice to Have
  • Familiarity with Python, R, MATLAB, or other quantitative modeling tools
  • Experience in financial modeling, forecasting, risk analysis, or investment research
  • Background in academia, sell-side/buy-side finance, or quantitative research
  • Prior exposure to AI evaluation workflows or data labeling platforms
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
  • Put your quantitative expertise to work on problems that directly influence how AI understands finance
  • Potential for ongoing work and contract extension as new projects launch
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