Econometrician

Founded in 2002, Ascend is an employee owned software service company based in Boulder, Colorado. Ascend’s management team has over 60 years of direct energy experience. Our focus remains the analytic and data infrastructure to support decision analysis from the next hour to the next thirty years. Ascend has utilized the latest technologies and modeling techniques to allow energy analysts and risk managers to meet today’s challenges.

This position will help Ascend Analytics deploy energy risk management software to electric utilities and other energy industry clients. We're looking for talented individuals with a serious commitment to econometric modeling, stochastic processes, stochastic modeling, mathematical finance, risk analysis and modeling of energy market dynamics and generation assets.

* Build advanced econometric models for capturing physical systems and energy market dynamics * Manage and solve complex analytic problems to make mission critical decisions for energy supply * Apply analytic solutions to improve operating performance and efficiency of decision analysis * Develop models to address client requests into new features for future product releases * Devise new approaches to represent results that provide real-time support for decision analysis * Provide expertise to clients in the areas of modeling energy markets * Consult with client and engagement leader to assess modeling needs * Apply dynamic optimization models to support modeling of utility energy portfolios, such as financial hedges, thermal and renewable generation, and transmission lines * Lead data integration and mapping activities from multiple external supporting systems

**Skills & Knowledge** * Solid understanding of econometrics and statistical modeling * Strong interpersonal skills, teamwork skills and work ethic * Deep understanding of time series modeling and stochastic process * Excellent verbal and written communication skills * Ability to prioritize multiple assignments and problem solve with minimum supervision * Excellent organizational skills * Demonstrated track record of working with clients and team * Proficiency with analytic software programming (SAS, R, Python or other languages) **Education & Experience** * Undergraduate degree a must; degrees in finance, energy, engineering or economics, are a plus * An advanced degree in economics, energy, engineering, or finance is advantageous * Knowledge and understanding of databases and database interfaces * Working knowledge of MS Excel * Micro economics and statistics * Financial engineering * Understanding of software programming * Ability to understand and design Monte Carlo simulations * Knowledge of statistics, Monte Carlo simulations, derivative instruments, time series modeling, and production cost modeling * Proven experience with time series modeling, and commodity price markets and/or financial markets