Senior Principal Risk Management Analyst

Xcel Energy (NASDAQ: XEL) is a leading energy provider and Fortune 500 company, dedicated to serving millions of electricity and natural gas customers across eight states:
Minnesota, Colorado, Wisconsin, Michigan, North Dakota, South Dakota, New Mexico and Texas. We make energy work better for our customers, helping them thrive every day. That means always raising the bar - delivering better service and providing more reliable, resilient, and sustainable energy.

Xcel Energy is a place where you’ll have opportunities to grow, expand your skills, and help lead the clean energy transition. We offer meaningful rewards, recognition, and support to help you build your career and make an impact - both on the job and beyond. Most importantly, it means you’ll be joining a company that knows employees are the driving force behind its success and is committed to helping you be your best.

Xcel Energy supports a hybrid work model to enable collaboration and flexibility. Many roles are expected to work onsite three days per week (Tuesday–Thursday); however, work location expectations vary based on role, team, and business needs.

Position Summary Under broad direction, works with stakeholders across multiple functions to establish a risk-based modeling approach for the enterprise top risks, using Xcel Energy’s risk framework and criteria. Collects the required internal and external risk and contextual information. Conducts probabilistic modeling of hazard-based risks and of uncertainties in operations, planning, modeling, and decision-making processes. Engages stakeholders throughout the process to align on scope, inputs, assumptions, results, and recommendations.

Essential Responsibilities Develops models and metrics, as part of daily responsibilities, to quantify risk based on economic, probability, and engineering principles. Evaluates strategic options for managing risk and uncertainty.

Develops methodologies for incorporating risk metrics to support strategic and operational decisions.

Designs and performs quantitative studies of business assumptions. Leverages tools, existing studies, business area systems, and data to identify, develop, and deliver analyses of hazard-based risks, uncertainties in assumptions, and uncertainties in achieving business objectives.

Uses trends and analysis to extrapolate historical data to current and future levels of uncertainty and risk.

Continually defines and coordinates existing and future data requirements for the analysis necessary to optimize industry risk benchmarking and enterprise risk assessment and management.

Communicates risk management processes, results, and recommendations to support decision-making, resource allocation, assessment of mitigation program effectiveness, and monitoring of risk trends.

Minimum Requirements Bachelor's degree in computer science, statistics, finance, mathematics, energy economics, or equivalent. Advanced degree desired.

A minimum of 7 years of work experience in risk modeling or a related field is required. Related fields may include actuarial science, risk management, economics, and energy systems.

Engineering/Utility Industry
- Knowledge of utility business operations, maintenance, engineering, and systems.

Quantitative/Statistical Modeling
- Ability to develop and analyze predictive models, forecasts, and simulations.

Advanced knowledge of statistics, econometrics, and risk modeling. Demonstrated analytical and financial analysis capabilities.

Programming/Data Platforms
- 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.

Artificial Intelligence
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