Energy Analyst II

Location:
Denver, Colorado, US

Position Type: Full-time, Permanent

Work model: Hybrid

Industry: Commodities & Energy

cQuant is seeking an Energy Analyst II to assist with software implementations, ongoing customer support, and maintenance/enhancements related to the analytical models within its web-based energy analytics platform.

The Energy Analyst II will interface directly with cQuant’s users, helping to instill best practices in quantitative modeling for portfolios amid the energy transition and enabling these users to realize maximum value from the cQuant solution. The Energy Analyst II will also work closely with various other departments within cQuant, including sales and marketing, quantitative development, and platform software, to assist in development, validation, quality assurance, and documentation of new energy-focused analytical products and features.

The direct client-facing nature of the role will require the successful candidate to demonstrate both strong technical and problem solving abilities as well as excellent written and verbal communication skills.

If you are passionate about the energy industry and want to be at the forefront of the quantitative analytics enabling the energy transition, we want to hear from you!

• Configuring, calibrating, and validating cQuant’s analytical models within implementation projects and/or ad hoc engagements.
• “Wrangling” energy and financial data.
• Providing direct analytical support to existing and/or prospective clients.
• Troubleshooting/debugging software failures.
• Developing reporting dashboards and visualizations for integration into cQuant’s production software.
• Writing documentation for existing analytical functionality.
• Training cQuant users on existing functionality and best practices.
• Performing testing and QA of cQuant’s models and analytical feature enhancements.
• Implementing automated error checks and data validation for existing models.
• Generating client-facing reports in R or Microsoft Excel.

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.

• Master’s degree in a quantitative discipline (Mathematics, Applied Mathematics, Statistics, Physics, Economics/Quantitative Economics or other) or a Bachelor’s degree along with 2 years of relevant wholesale electric power industry experience in a quantitative role.
• Less than 3 years of relevant work experience (entry-level role).
• Strong grasp of statistics and time series analysis (probability distributions, regression models, stochastic processes).
• Python/R proficiency (4 years including academic experience)
  for data analysis and model development.
• Excellent written and verbal communication skills; ability to explain complex technical concepts to clients.
• Hands-on experience in configuring, calibrating, and validating analytical models.
• Experience handling large datasets, reporting, and visualization development.
• Strong problem-solving skills, attention to detail, and proactive mindset.
• Self-motivated, highly organized, and able to work in a fast-paced, results-oriented environment.

• Familiarity with wholesale energy industry concepts (renewable and thermal generation, battery storage, deal structuring).
• Basic understanding of financial derivatives (swaps, forwards, European options).
• Experience in QA/testing for analytical software or model feature enhancements.
• Teaching, tutoring, or training experience.
• Prior experience in energy finance, risk management, or portfolio analysis.
• Strong documentation skills and user-focused mindset.

• You have a strong foundation in mathematics, physics, engineering, or quantitative finance, you think in models, not dashboards.
• You’re comfortable applying quantitative methods like stochastic modelling, Monte Carlo simulation, or optimization to real-world energy problems.
• You can code in…