Quantitative Risk Analyst

The Firm

A fast-growing, private equity-backed power platform is seeking a Quantitative Risk Analyst to advance the modeling and risk analytics capabilities across a rapidly expanding U.S. power and natural gas portfolio.

The Role

This role sits at the intersection of wholesale power markets, natural gas fundamentals, and portfolio-level risk measurement. The team is building from the ground up, offering meaningful exposure across fuel strategy, dispatch optimization, structured contract valuation, and new project evaluation.

The Opportunity

This is a hands-on, quantitatively driven role supporting commercial decision-making across operating assets and the broader portfolio, including:

• Analyzing price volatility, correlation structures, and margin and earnings drivers across fuels, basis, and power markets
• Conducting cash-flow and earnings at-risk analysis across thermal, renewable, and intermittent generation assets
• Executing Monte Carlo simulations and probabilistic scenario analysis to quantify portfolio exposure
• Estimating potential future exposure (PFE) for collateral and commodity transactions
• Evaluating fuel supply, storage, transport options, and dual-fuel dispatch constraints
• Supporting PPA, tolling agreement, and heat-rate option valuation
• Building and maintaining forward curves for power and natural gas, including nodal and hourly shape curves
• Working with large datasets from ISO portals, pipeline postings, ICE, and third-party data vendors
• Building and maintaining models in Python, SQL, and Excel; contributing to dashboards in Power BI or Tableau
• Producing clear, decision-focused reporting that translates complex quantitative outputs for commercial and operations leadership

The role offers exposure across merchant generation, structured transactions, capacity markets, and portfolio risk — within a lean, collaborative team environment.

Ideal Background

• 2–6 years of experience in energy modeling, power and gas risk analytics, or quantitative valuation
• Strong understanding of wholesale power market structure, heat rates, dispatch economics, and natural gas basis and transport
• Demonstrated ability to apply stochastic and probabilistic methods in a commercial setting
• Experience with natural gas-fired or dual-fuel generation preferred
• Python and SQL required; familiarity with MATLAB, R, @Risk, or CQuant is a plus
• Experience in ERCOT, PJM, MISO, ISO-NE, NYISO, SPP, or CAISO preferred
• Comfortable operating independently in a lean environment with incomplete data

Why This Role?

• Ground-floor opportunity within a rapidly scaling IPP platform
• Direct exposure to senior leadership and portfolio-level risk decision-making
• Broad scope across operating assets, structured transactions, acquisitions, and new development
• Long-term growth trajectory as the platform expands