Quantitative Research Analyst
Core
Develop quantitative tools, empirical studies, and risk analytics to support relative-value analysis, trading-opportunity evaluation, and portfolio-management decisions across commodity markets.
Role type
Quantitative Research Analyst / Desk Quant (front-office IC)
Builds
Quantitative research, risk analytics, and pre-trade analytics tools for commodity derivatives
Domain
Fixed income / Commodities (energy, power, agricultural, metals, soft commodities)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
statistical and econometric modelling, Python programming, risk analytics, systematic-strategy research, option-strategy back-tests, machine learning techniques, commodity-specific process modelling
Preferred skills
knowledge of risk-neutral derivatives modelling, AI engineering, modern data-science techniques
Technologies
Python
Responsibilities
Develop quantitative tools and empirical studies for relative-value analysis; Build and maintain models generating risk analytics; Develop pre-trade analytics and research tools; Provide timely quantitative support to Portfolio Managers and traders; Research and back-test systematic investment strategies; Contribute to technology infrastructure enhancement
Seniority
Mid-level, hands-on IC