Senior Principal Risk Management Analyst

Xcel Energy•Denver, CO

1d•Onsite

About The Position

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.

Requirements

Bachelor's degree in computer science, statistics, finance or equivalent.
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, MatLab, 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.

Nice To Haves

Advanced degree desired.
Familiarity with code development tools like Python, SQL, Databricks
Familiarity with Geospatial data and analysis tools like QGIS

Responsibilities

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.