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’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