Senior Principal Risk Management Analyst

Job Opportunity At Xcel Energy

Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you're looking for.

Under broad direction, works on problems where analysis of data requires further inquiry and analysis to make recommendations. Works on complex projects. Develops models to quantify and optimize the risk associated with the gas and electric distribution systems based on probabilistic, financial and engineering analysis. Provides technical direction to less experienced team members. Optimizing risk includes, but is not limited to, determining impacts to system reliability, operational performance, environment, jurisdictional and business financial performance, system safety, legal and regulatory compliance, and brand impact.

• Develops models and metrics, as part of daily responsibilities, to quantify the risk associated with the distribution system operational and reinvestment options, based on probability statistical and engineering principles. Evaluates strategic options for managing assets.
• Develops methodologies for incorporating risk metrics to support project funding decisions. Performs Life Cycle Cost analysis based on the developed models.
• Designs and performs quantitative studies of historical and forecasted spends. Perform post project effectiveness evaluations as part of the PDCA process. Leverage tools, existing studies, business area systems and data to identify, develop, and deliver meaningful forecasts, profiles, metrics and other analytics associated with electricity, gas or transportation.
• Uses trends and analysis to recommend and support capital and O&M funding levels as part of the annual budget process.
• Continually defines and coordinates existing and future data requirements for the analysis necessary to optimize distribution system risk.
• Communicates risk management processes, results and recommendations to management and employees to support the implementation of the Asset Management model.

• Bachelor's degree in computer science, statistics, finance or equivalent.
• Advanced degree desired.
• Minimum of 7 years of risk modeling work experience or related field required, which may include actuarial, risk management, and economics.
• Engineering/Utility Industry-Knowledge of utility business operations maintenance, engineering and systems. Quantitative/Statistical Modeling-Ability to develop and analyze predictive models, forecasting, and simulation.
• Ability to perform regression, correlation and trend analysis
• Accounting/Financial Modeling-Knowledge of accounting principles. Ability to build financial models.
• Ability to interpret financial statements. Computer Systems/Information Technology-Advanced ability to use Excel (VBA), Access, Mat Lab, and other database programs and analytical tools.
• Advanced ability to collect, extract, and manipulate complex data files.
• Advanced knowledge of statistics, econometrics, and risk modeling.
• Demonstrated analytical and financial analysis capabilities.

• Familiarity with code development tools like Python, SQL, Databricks
• Familiarity with Geospatial data and analysis tools like QGIS

As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you're ready to be a part of something big, we invite you to join our team.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Individuals with a disability who need an accommodation to apply please contact us at