Quantitative Researcher for Monetization
Tasks
- Apply stochastic optimization under real world market constraints
- Architect autonomous strategies end to end
- Develop forecasts and models
- Identify market opportunities using expected value and difficulty
- Monitor machine learning models
- Optimize strategy performance using metadata for bidding decisions
- Produce production ready code for optimization and forecasting
Perks/Benefits
- N/A
Skills/Tech-stack
Convex Optimization | Forecasting | Machine Learning | Operations Research | Optimization | Probability theory | Python | Stochastic Optimization
Education
N/A
Roles
Regions
Countries
States
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