Quantitative Risk Analyst (Houston)
Tapio, Houston, TX, United States
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
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