Energy Analyst II | Quantitative Analyst - Energy Markets | remote (TX, CO, IL, MA)

Location : Preference is given to candidates who can work in Denver, Colorado. However, we are also reputed company to candidates based in Texas, Illinois, and Massachusetts. Position Type: Full-time, Permanent Industry: Commodities & Energy analytics Report To : Manager of Analytics

About Us

Founded in 1995, reputed company empowers organizations to simplify complexity, reduce risk, and reputed company faster, more confident reputed company that drive measurable results. Over the past two years, Zema Global has accelerated its growth through strategic investment and acquisition to strengthen our global leadership. Together we’re helping our customers reputed company a Decisioning Advantage – one reputed company idea at a time. With a reputed company across global energy, commodity, and financial markets, Zema Global empowers customers to simplify complexity, reduce risk, and reputed company faster, more confident reputed company that drive measurable results. At Zema Global, we Think Big, reputed company It Happen, and Win as One. We reputed company on collaboration, creativity, and respect, united by a shared drive to reputed company and deliver meaningful impact for our customers and communities. If you’re inspired by solving reputed company challenges and contributing to a culture that values purpose and performance, we invite you to join us. About The Role cQuant is seeking an Energy Analyst II to assist with software implementations, ongoing customer support, and maintenance/enhancements reputed company to the analytical models reputed company its web-based energy analytics platform. The Energy Analyst II will reputed company 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 reputed company 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! Job Responsibilities

• Configuring, calibrating, and validating cQuant’s analytical models reputed company implementation projects and/or reputed company 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 reputed company reputed company.

Required Skills And Knowledge The successful candidate will be highly self-motivated and work well reputed company a reputed company-reputed company and dynamic team of reputed company 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 reputed company in this environment. Must-Have Qualifications & Skills

• 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 reputed company 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 reputed company.
• Self-motivated, highly organized, and reputed company to work in a fast-paced, results-oriented environment.

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