Energy Analyst II | Quantitative Analyst - Energy Markets | remote (US)

Zema Global Data Corporation is hiring an Energy Analyst II for cQuant. The role supports software implementations, customer analytics, and the maintenance and enhancement of energy models, while contributing to the development, validation, testing, and documentation of analytical products.

What you'll do:

• 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

What they're looking for:

• 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
• Python/R proficiency (3+ years including academic experience) for data analysis and model development
• 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)
• 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
• You have a strong foundation in mathematics, physics, engineering, or quantitative finance
• You're comfortable applying quantitative methods like stochastic modelling, Monte Carlo simulation, or optimization to real-world energy problems
• You can code in Python or R

Benefits:

• Shape the future of energy, commodities, and financial markets through innovative technology.
• Work with cutting-edge software, advanced analytics, and complex data that solve real-world challenges.
• Career growth and progression at a fast-growing global organization.
• Collaborate with talented colleagues and industry experts across North America, Europe, and Asia.
• Take ownership of your work and influence strategic initiatives.
• Be part of a collaborative culture built on trust and respect.