Hybrid Commodity Quant Analyst - Macro Hedge Fund

ALFA AI GmbH; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Camber Morris is seeking a brilliant Commodity Quantitative Analyst to join a top-tier macro hedge fund in London. In this hybrid role, you will develop mathematical models and systematic strategies that drive investment decisions.

You will work on data exploration, backtesting, risk analysis, and platform improvements to support real-time market analysis. The position combines rigorous research with practical trading execution in a collaborative environment, offering high visibility and impact

Qualifications

• Master’s degree or PhD in a highly quantitative discipline (math, physics, quantitative finance, or computer science).
• Proficient coding in Python, C++, or R with production-grade code and data libraries.
• 3+ years of experience as a quantitative analyst in a hedge fund, prop trading firm, or investment bank.
• Strong knowledge of time-series analysis, machine learning, and stochastic calculus for financial markets.
• Analytical, detail-oriented, able to explain complex quantitative concepts to non-technical stakeholders.

Responsibilities

• Model development, pricing, analysis and trading across commodity markets (energy preferred).
• Backtest and refine systematic trading strategies for profitability and risk-adjusted returns.
• Source, clean and structure non-traditional data (shipping telemetry, satellite imagery, weather).
• Develop risk frameworks to stress-test positions against macro shocks and liquidity constraints.
• Enhance proprietary research platform for scalable, real-time market analysis.

Skills

Quant degree

Python/C++/R

3+ yrs exp

Time-series ML

Analytical mindset

Education

Master’s or PhD in quantitative field

Job description

Camber Morris is seeking a brilliant Commodity Quantitative Analyst to join a top-tier macro hedge fund in London. In this hybrid role, you will develop mathematical models and systematic strategies that drive investment decisions.

You will work on data exploration, backtesting, risk analysis, and platform improvements to support real-time market analysis. The position combines rigorous research with practical trading execution in a collaborative environment, offering high visibility and impact