Lead Enterprise Risk Modeling & Analytics Architect

Xcel Energy Inc

Denver (CO)

Hybrid

USD 98,000 - 139,000

Full time

12 days ago

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Benefits offered by this job

Annual Incentive Program
Medical/Pharmacy Plan
Dental
Vision
Life Insurance
Pension
401(k) plan
Paid time off
Holidays
volunteer paid time off

Job summary

Xcel Energy Inc is seeking a Senior Risk Modeling professional to establish a risk-based modeling approach for enterprise top risks. You will collect internal and external risk data, perform probabilistic modeling, and engage stakeholders to align on scope and results.

The role requires collaboration across functions, extensive analytics, and communication of risk insights to guide decisions. The position offers a hybrid work model with onsite expectations three days a week.

Qualifications

  • Bachelor's degree in computer science, statistics, finance, mathematics, energy economics, or equivalent. Advanced degree desired.
  • 7+ years of work experience in risk modeling or related fields required.
  • Knowledge of utility operations, maintenance, engineering, and systems.

Responsibilities

  • Develop models and metrics to quantify risk using economic, probability, and engineering principles.
  • Develop methodologies for incorporating risk metrics into strategic decisions.
  • Design and perform quantitative studies using data, studies, and systems.
  • Use trends to extrapolate historical data to future risk levels.
  • Define data requirements for enterprise risk assessment and benchmarking.
  • Communicate risk management results and recommendations to support decision-making.

Skills

Quantitative modeling
Statistics
Econometrics
Risk modeling
Programming
AI tools
Engineering/Utility industry knowledge

Education

Bachelor's degree (CS/Stats/Finance/Math/Energy economics)

Job description

Xcel Energy Inc is seeking a Senior Risk Modeling professional to establish a risk-based modeling approach for enterprise top risks. You will collect internal and external risk data, perform probabilistic modeling, and engage stakeholders to align on scope and results.

The role requires collaboration across functions, extensive analytics, and communication of risk insights to guide decisions. The position offers a hybrid work model with onsite expectations three days a week.

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