Financial Forecaster (AI Research Project)

This role is for one of our clients

A leading AI research team is seeking experts in quantitative finance to support a high-impact project focused on enhancing AI-based forecasting systems. This role is ideal for professionals with experience in trading, asset management, market research, or statistical modeling who can provide structured, data-backed financial predictions.

Key Responsibilities

• Produce probabilistic forecasts on financial markets, asset classes, and macroeconomic indicators
• Clearly document quantitative models, logic, datasets, and assumptions used in forecasts
• Analyze historical datasets to extract signals and validate market hypotheses
• Collaborate with peers from economics and finance to align and calibrate predictions
• Contribute to improving forecasting structures, scoring systems, and methodology

Ideal Qualifications

• Professional background in quantitative finance, trading, economics, portfolio research, or data science
• Hands-on experience with financial forecasting, market modeling, or systematic strategies
• Proficiency with analytical tools such as Python, R, or Excel for data analysis and backtesting
• Experience with forecasting competitions (e.g., Numerai, QuantConnect) is an advantage
• Strong analytical thinking and ability to write clear, structured reasoning

Project Details

• Fully remote and asynchronous — flexible working hours
• Expected weekly contribution: 10–20 hours

Compensation & Terms

• Compensation range: $105–140 per hour (for U.S.-based participants)
• Contractual engagement as an independent contractor