Senior Principal Risk Management Analyst

Xcel Energy•Denver, CO

3d•Hybrid

About The Position

Under broad direction, the Senior Principal Risk Management Analyst works with stakeholders across multiple functions to establish a risk-based modeling approach for enterprise top risks using Xcel Energy’s risk framework and criteria. The role gathers internal and external risk and contextual information; conducts probabilistic modeling of hazard-based risks and uncertainties in operations, planning, modeling, and decision-making; and engages stakeholders to align on scope, inputs, assumptions, results, and recommendations. The analyst develops models, metrics, and methodologies to quantify risk and incorporate risk measures into strategic and operational decisions. The role uses tools, studies, systems, and data to analyze hazard-based risks, uncertain assumptions, and uncertainty in achieving business objectives. It also communicates processes, results, and recommendations to inform decisions, resource allocation, mitigation effectiveness, and risk-trend monitoring. Xcel Energy supports a hybrid work model. Many roles are expected to work onsite three days per week (Tuesday–Thursday), though location expectations vary by role, team, and business needs.

Requirements

Bachelor’s degree in computer science, statistics, finance, mathematics, energy economics, or an equivalent field.
At least 7 years of work experience in risk modeling or a related field, such as actuarial science, risk management, economics, or energy systems.
Knowledge of utility business operations, maintenance, engineering, and systems.
Ability to develop and analyze predictive models, forecasts, and simulations.
Advanced knowledge of statistics, econometrics, and risk modeling.
Demonstrated analytical and financial analysis capabilities.
Advanced proficiency in current programming and statistical software for data analysis, statistical modeling, and simulation.
Experience with large data repository systems for large-scale data processing, data pipelines, and analytics.
Advanced use of AI tools and techniques, including generative AI, to accelerate data collection, analysis, modeling, and reporting.

Nice To Haves

Advanced degree.

Responsibilities

Develop models and metrics to quantify risk based on economic, probability, and engineering principles.
Evaluate strategic options for managing risk and uncertainty.
Develop methodologies for incorporating risk metrics into strategic and operational decisions.
Design and perform quantitative studies of business assumptions.
Use tools, existing studies, business-area systems, and data to analyze hazard-based risks, uncertainty in assumptions, and uncertainty in achieving business objectives.
Use trends and analysis to extrapolate historical data to current and future levels of uncertainty and risk.
Define and coordinate existing and future data requirements for industry risk benchmarking and enterprise risk assessment and management.
Communicate risk management processes, results, and recommendations to support decision-making, resource allocation, mitigation-program effectiveness assessment, and risk-trend monitoring.
Engage stakeholders throughout the modeling process to align on scope, inputs, assumptions, results, and recommendations.

Benefits

Annual Incentive Program
Medical/Pharmacy Plan
Dental
Vision
Life Insurance
Dependent Care Flexible Spending Account
Health Care Flexible Spending Account
Health Savings Account (if enrolled in an eligible health plan)
Limited-Purpose Flexible Spending Account (if enrolled in an eligible health plan and HSA)
Transportation Reimbursement Account
Short-term disability
Long-term disability
Employee Assistance Program
Fitness Center Reimbursement (if enrolled in an eligible health plan)
Tuition reimbursement
Transit programs
Employee recognition program
Pension
401(k) plan
Paid time off
Holidays
Volunteer Paid Time Off
Parental Leave