Weekday AI (YC W21) · 2 months ago
Financial Forecaster (AI Research Project)
Weekday AI is a leading AI research team seeking experts in quantitative finance for a high-impact project focused on enhancing AI-based forecasting systems. The role involves producing probabilistic forecasts, analyzing historical datasets, and collaborating with peers to improve forecasting methodologies.
Computer Software
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
Qualification
Required
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
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
Strong analytical thinking and ability to write clear, structured reasoning
Preferred
Experience with forecasting competitions (e.g., Numerai, QuantConnect) is an advantage
Benefits
Fully remote and asynchronous — flexible working hours
Contractual engagement as an independent contractor
Company
Weekday AI (YC W21)
We are a YC-backed recruitment startup. Find select jobs posted by premium YC as well as VC backed startups here. Hand-curated by Weekday team.
Funding
Current Stage
Early StageCompany data provided by crunchbase