Quantitative Finance Forecasting Analyst
Alignerr, New York, NY, United States
Quantitative Finance Forecasting Analyst (AI Training)
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr