Energy Analyst II Location: Denver/Boulder, Colorado Job Description: At cQuant, we imagine a smarter and better energy analytics platform. And we don't just imagine it, we build it and support our customers with sophisticated quantitative analytics with modern cloud-based computing infrastructure in a cloud-native web-based platform. Join us and be a critical part of a rapidly growing team that offers a fun, open and challenging work environment. The Energy Analyst role will involve a broad range of tasks related to developing and supporting sophisticated quantitative models within cQuant.io's software-as-a-service platform for advanced energy analytics. Job Responsibilities: Daily activities may involve: configuring, calibrating, and validating cQuant's analytical models "wrangling" energy data generating client-facing reports in R or Microsoft Excel providing direct analytical support to existing and/or prospective clients developing reporting dashboards and visualizations for integration into cQuant's production software implementing automated error checks for existing models troubleshooting model failures, among other tasks Required Skills and Knowledge The successful candidate will be highly self-motivated and work well within a close-knit and dynamic team of bright and driven analytical software professionals. Work is fast-paced and results oriented, with little room for error or re-work, and the ideal candidate will excel in this environment. Ideally, the candidate will possess the following skills and qualities: A solid grasp of statistics and time series analysis concepts including probability distributions, regression models, and autoregressive stochastic processes. Highly detail oriented and know how to validate their own work to ensure accuracy. Excellent interpersonal skills and be comfortable interacting directly with clients. Have a passion for analytics, data, software engineering, and providing the best user experience possible. Familiarity with energy and/or commodity analytics, with an emphasis on retail and/or wholesale renewable energy products and deal structures including power purchase agreements, behind-the-meter solar + storage, proxy revenue swaps, and others. Familiarity with financial energy markets (retail and/or wholesale) and standard financial products (futures/forwards, European options, etc.). Experience developing software/analytical models with an eye toward code maintainability and robustness. Demonstrate proficiency in R, Python, or some other modern analytical or statistical programming language. Have at least a working knowledge of the R programming language for both analysis and data visualization. Education and Experience 2+ years of experience in a quantitative role within the energy industry or directly-related academic setting. Ph.D. or M.S. degree in a quantitative discipline (mathematics, quantitative finance, statistics, operations research, or computer science). Salary and Benefits Salary Range: $70,000 - $100,000 depending on experience. Benefits include generous paid time-off (PTO) policy, choice of working from home or office, and a generous monthly stipend to put towards our great health, dental and visions insurance. To apply, please send your resume and cover letter to careers@cquant.io.