Quantitative Risk Analyst (Houston)

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