Quantitative Research Analyst (Commodities)

Location: Newport Beach, California, USA; quantitative support is provided during US trading hours.

Salary: $165,000–$240,000 per year, plus a discretionary bonus.

Company

hirify.global is a global active fixed-income investment manager operating across public and private markets, including commodities.

What you will do

• Develop quantitative tools and empirical studies for relative-value analysis, trading-opportunity evaluation, and portfolio-management decisions across commodity markets.
• Build, enhance, and maintain models generating risk analytics for existing and prospective commodity positions.
• Develop robust, scalable, and reusable pre-trade analytics and research tools in Python.
• Provide quantitative support to Portfolio Managers and traders for risk management and operational analysis during US trading hours.
• Research, back-test, and maintain systematic, option, and quantitative investment strategies.
• Expand analytics coverage across energy, power, metals, agriculture, and soft commodities while enhancing supporting technology infrastructure.

Requirements

• Master’s degree or PhD in a highly quantitative discipline such as mathematics, statistics, econometrics, financial economics, physics, engineering, or computer science; PhD preferred.
• 2–5 years of relevant experience as a commodity quant at a sell-side trading desk or quantitatively oriented asset manager; exceptional junior candidates with relevant doctoral research may be considered.
• Strong knowledge of probability, statistics, econometrics, financial mathematics, and empirical research.
• Experience modelling commodity-specific processes, ideally in power, weather, oil, natural gas, metals, or agricultural markets.
• Advanced Python programming skills and experience delivering reliable analytical or research tools, risk analytics, strategy back-tests, or pre-trade analytics.
• Ability to collaborate with Portfolio Managers and traders, explain complex quantitative concepts clearly, and deliver accurate analysis in a time-sensitive front-office environment.

Nice to have

• Knowledge of risk-neutral derivatives modelling and option analytics.
• Exposure to machine learning, AI engineering, or modern data-science techniques.

Culture & Benefits

• Full-time employment within a high-performance and inclusive culture.
• Compensation includes a fixed base salary and discretionary performance-based bonus.
• Work closely with Portfolio Managers, traders, quantitative researchers, and technologists.
• Opportunity to contribute to AI-enabled research capabilities and technology infrastructure for quantitative strategies.