Modeling Quantitative Analyst, Cross-Asset Trading Analytics
Core
Develop and maintain quantitative models, analytical frameworks, and decision-support tools to enable trading, risk management, and commercial optimization across energy, environmental, and commodity markets.
Role type
Quantitative Analyst (Cross-Asset Trading Analytics)
Builds
Scalable state-of-the-art quantitative solutions for commercial decisions
Domain
Energy, Chemicals, Commodity Trading, Financial Markets
Deliverable
production ML models | product features
Required skills
Quantitative modeling, Statistical analysis, Time-series modeling, Stochastic calculus, Optimization techniques, Machine learning, Python, C++, Risk modeling, Portfolio analytics, Model validation, Back-testing
Preferred skills
Derivative pricing, Monte Carlo simulation, PDEs, Stochastic optimal control, Cloud-based analytics, Distributed computing, Software engineering best practices
Responsibilities
Develop quantitative models for trading, risk management, valuation, and portfolio optimization; Build analytical frameworks to evaluate market fundamentals and cross-commodity opportunities; Conduct statistical analysis, scenario analysis, and forecasting; Partner with traders to translate business challenges into quantitative solutions; Create and maintain analytical tools and dashboards; Analyze market behavior and emerging trends; Evaluate model performance and implement enhancements; Collaborate with technology teams to deploy robust solutions; Communicate analytical findings to stakeholders; Contribute to quantitative best practices and model governance.
Seniority
Mid-Senior, hands-on IC