Senior Risk Quantitative Analyst

• Develop and maintain quantitative risk models measuring portfolio exposures, stress scenarios, and downside risk across commodity markets
• Build analytical frameworks supporting enterprise risk measurement, concentration analysis, and forward-looking risk assessments
• Perform valuation modeling, exposure simulations, scenario analysis, and sensitivity testing
• Document methodologies, validate assumptions, and support model enhancements
• Maintain price curve and valuation models, validate market data inputs, perform curve analysis, and assist with valuation methodologies for physical and financial commodity positions
• Deliver risk analytics and decision-support insights for trading, origination, optimization, and strategic business initiatives
• Partner with Commercial, Risk Oversight, Finance, and Data teams to translate business challenges into quantitative solutions
• Communicate model outputs and analytical findings to technical and non-technical stakeholders
• Support model governance through documentation, back-testing, validation, and ensuring transparency, accuracy, and consistency
• Research and apply Monte Carlo simulation, stochastic modeling, optimization, volatility analysis, and machine learning approaches

• Bachelor’s degree required
• Business, Accounting, Finance, Mathematics, Engineering, Economics or a related discipline preferred
• 2 years risk experience required
• Senior Risk Quantitative Analyst:
  Minimum of four (4) years of relevant experience preferred
• Experience with Power BI, Monte Carlo simulation, and RDW preferred
• Prior experience in commercial operations, economics, risk management, quantitative analysis, financial analysis, or modeling preferred

Demonstrates expertise in developing and maintaining quantitative risk models, performing valuation modeling, and applying advanced analytical techniques such as Monte Carlo simulation and stochastic modeling. Strong ability to communicate complex analytical findings to diverse stakeholders and support model governance through rigorous documentation and validation.

• Quantitative Risk Modeling
• Monte Carlo Simulation
• Valuation Modeling
• Power BI
• Risk Management

• Quantitative Analysis
• Exposure Simulations
• Scenario Analysis
• Sensitivity Testing
• Curve Analysis
• Analytical Frameworks
• Stress Scenarios
• Downside Risk Measurement
• Optimization
• Volatility Analysis

• Communication
• Collaboration

• Risk Oversight
• Financial Analysis
• Commercial Operations
• Model Governance
• Portfolio Exposures

• Power BI
• Monte Carlo Simulation
• RDW