full-time
Commodity Quantitative Analyst
Alfa AI
- Employer
- Alfa AI
- Location
- London
- Working pattern
- hybrid
- Salary
- £250,000–£500,000 / year
About the role
Develop and optimize quantitative models and systematic trading strategies for commodity markets, using market and alternative data to generate risk-adjusted signals. Work with portfolio managers on risk frameworks and improve the research platform for scalable, real-time analysis. Requires a master’s degree or PhD in a quantitative discipline, at least three years of quantitative analyst experience in a hedge fund, proprietary trading firm, or investment bank, and strong programming skills in Python, C++, or R. Candidates should have expertise in commodity derivatives and physical markets, along with knowledge of time-series analysis, machine learning, and stochastic calculus.