Commodities Quant Strategist – Global Macro

Goldman Lloyds; New York (NY); On-site; USD 180,000 - 320,000; Full time

Job summary

Global Macro Hedge Fund in New York is seeking a Commodities Quantitative Strategist to work directly with Portfolio Managers and Traders across its commodities business. You will blend quantitative research, fundamental commodity analysis and portfolio construction to identify trading opportunities and inform live decisions.

This role sits at the intersection of data science and market insight, with hands-on access to live portfolios.

Qualifications

• Strong professional quantitative experience within Commodities, Global Macro or systematic trading.
• Deep understanding of at least one major commodity complex, ideally Energy/Natural Gas/Oil, Metals or Power.
• Strong knowledge of commodity futures curves, spreads, derivatives and market structure.
• Advanced Python, statistics, time-series analysis and quantitative modelling.
• Experience researching and backtesting signals, forecasts or systematic trading strategies.

Responsibilities

• Develop quantitative models and research across Energy, Natural Gas, Oil, Power, Metals and broader commodity markets.
• Research futures curves, term structure, calendar spreads, basis, carry, roll and relative-value opportunities.
• Build models incorporating supply/demand, inventories, flows, positioning, weather and other fundamental commodity datasets.
• Develop statistical signals and forecasting models to identify market regimes, dislocations and trading opportunities.
• Analyze commodity volatility, options and derivatives and their impact on portfolio exposures.
• Build Python-based research, backtesting and analytical frameworks.
• Develop portfolio analytics covering risk, correlations, scenarios, factor exposures and position sizing.
• Research relationships between Commodities, FX, Rates, inflation and broader macro factors.
• Work directly with PMs and Traders to turn quantitative research into actionable trade ideas and portfolio decisions.
• Evaluate new traditional and alternative datasets that could generate an informational or trading edge.

Skills

Quantitative research

Python

Time-series analysis

Backtesting

Trading strategies

Tools

Data analysis

Statistical modelling

Job description

Commodities Quantitative Strategist – Global Macro

$7bn Global Macro Hedge Fund | New York

A leading $7bn global macro hedge fund is seeking a Commodities Quantitative Strategist to work directly alongside Portfolio Managers and Traders across its commodities business.

The role sits at the intersection of quantitative research, fundamental commodity analysis and portfolio construction, using large-scale market and fundamental datasets to identify trading opportunities and improve investment decision-making. This is not a pure pricing/model-validation quant role. Research will be directly connected to live commodity portfolios and trading decisions.

The Role

• Develop quantitative models and research across Energy, Natural Gas, Oil, Power, Metals and broader commodity markets.
• Research futures curves, term structure, calendar spreads, basis, carry, roll and relative-value opportunities.
• Build models incorporating supply/demand, inventories, flows, positioning, weather and other fundamental commodity datasets.
• Develop statistical signals and forecasting models to identify market regimes, dislocations and trading opportunities.
• Analyze commodity volatility, options and derivatives and their impact on portfolio exposures.
• Build Python-based research, backtesting and analytical frameworks.
• Develop portfolio analytics covering risk, correlations, scenarios, factor exposures and position sizing.
• Research relationships between Commodities, FX, Rates, inflation and broader macro factors.
• Work directly with PMs and Traders to turn quantitative research into actionable trade ideas and portfolio decisions.
• Evaluate new traditional and alternative datasets that could generate an informational or trading edge.

Candidate Profile

• Strong professional quantitative experience within Commodities, Global Macro or systematic trading.
• Deep understanding of at least one major commodity complex, ideally Energy/Natural Gas/Oil, Metals or Power.
• Strong knowledge of commodity futures curves, spreads, derivatives and market structure.
• Advanced Python, statistics, time-series analysis and quantitative modelling.
• Experience researching and backtesting signals, forecasts or systematic trading strategies.
• Ability to combine fundamental commodity drivers with quantitative analysis.
• Experience working directly with Portfolio Managers or Traders strongly preferred.
• Hedge fund, proprietary trading firm, commodity trading house or relevant investment-bank experience.