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
Average salary estimate
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