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

Energy Analyst II | Quantitative Analyst - Energy Markets | remote (US) @ Zema Global Back to all roles Energy Analyst II | Quantitative Analyst - Energy Markets | remote (US) Apply Job details Department Denver, Illinois - remote, US, Texas - remote, US, Massachusetts - remote Full-time $85,000 USD - $100,000 USD Location: Preference is given to candidates who can work in Denver, Colorado. However, we are also open 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, Zema Global Data Corporation empowers organizations to simplify complexity, reduce risk, and make faster, more confident decisions 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 gain a Decisioning Advantage - one bold idea at a time. With a presence across global energy, commodity, and financial markets, Zema Global empowers customers to simplify complexity, reduce risk, and make faster, more confident decisions that drive measurable results. At Zema Global, we Think Big, Make It Happen, and Win as One. We thrive on collaboration, creativity, and respect, united by a shared drive to innovate and deliver meaningful impact for our customers and communities. If you're inspired by solving complex 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 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! JOB RESPONSIBILITIES

• 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.

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. 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 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.

Nice-to-Have

Qualifications & Skills:

• 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.

What makes you a great fit:

• 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 Python or R, but your strength lies in how you use those tools to explore logic, probability, and data relationships, not just build visuals or pipelines.
• You're curious about energy markets and enjoy solving complex, abstract problems that don't have a single "right" answer.
• You can communicate complex concepts clearly, translating technical insights into business impact for stakeholders.

Not the right fit: candidates whose experience is limited to data cleaning, SQL, Power BI, or dashboarding, this isn't a data visualization role. Why Join us?

• Be part of a rapidly growing company revolutionizing energy analytics, shaping how data drives decision-making across the energy and commodities markets.
• Work with cutting-edge technology alongside a team of industry experts who are redefining market intelligence.
• Significant opportunity to make a measurable impact on product strategy, revenue growth and customer success, with clear paths for career advancement.
• Join a company culture that values innovation, collaboration and customer-centric thinking, giving you the autonomy to drive meaningful change.

How to Apply

Please submit your PDF CV highlighting your relevant experience (English CVs only). Only shortlisted candidates will be contacted. No agency submissions, please.

• No visa sponsorship is available for this position
• Equality and Diversity: we're all about creating equal opportunities for everyone - no matter your background, abilities, or experiences. If you need any adjustments during the recruitment process to help you shine, just let us know! Our Talent Team is here to support you and ensure everything goes smoothly.

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I currently hold a visa and will not require employer sponsorship now or at any point in the future. I will require employer sponsorship now or in the future. Role Questions What level of exposure do you have to energy or commodity markets?

• Direct experience in wholesale power, energy trading, risk, or portfolio analytics

Academic or project-based exposure to energy markets or energy economics Exposure to financial markets, derivatives, or quantitative finance (non-energy) General interest in energy markets, but limited direct exposure No prior exposure to energy or commodity markets Which areas are you most familiar with? (Select all that apply)

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Renewable energy / battery storage Energy trading or risk Financial derivatives (swaps/options/forwards) Energy forecasting / modelling None of the above Which best describes your experience working with quantitative models?

• I have built and owned quantitative models end-to-end (design, implementation, validation)

I have contributed to building or improving quantitative models I have academic/project experience working with quantitative models I have limited exposure to quantitative models I have no experience with quantitative models Which statistical methods have you used in practice (work or academic)? (Select all that apply)

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0 / 500 AI disclaimer This application process may use AI-enabled systems to support candidate evaluation based on factors such as experience, technical skills, and qualifications. All processing is carried out in accordance with applicable data protection, AI governance, and labour laws. Human oversight is maintained at all stages, and final hiring decisions are made by people. Personal data submitted as part of this application is not used to train AI models. Apply Apply Hire withPrivacy Policy Remote Skills: Acquisition Strategy, Analysis Skills, Analysis Software, Artificial Intelligence (AI), Best Practices, Communication Skills, Competitive Analysis/Strategy, Customer Relations, Customer Support/Service, Data Analysis, Data Cleaning, Data Modeling, Data Quality, Data Sets, Data Visualization, Derivatives, Detail Oriented, Diversity, Economics, Electricity, Finance, Financial Mathematics, Information/Data Security (InfoSec), Insurance Documentation, Investment Strategy, Leadership, Leading Edge Technology, Market Analysis, Marketing, Mathematics, Microsoft Excel, Model Validation, Monte Carlo Method, Organizational Skills, Physics, Portfolio Analysis, Power BI, Presentation/Verbal Skills, Problem Solving Skills, Process Improvement, Process Modeling, Product Strategy, Python Programming/Scripting Language, Quality Assurance, Quantitative Analysis, R Programming Language, Reporting Dashboards, Reporting Skills, Revenue Growth, Risk, Risk Management, SQL (Structured Query Language), Sales, Sales Prospecting, Statistics, Stochastic Analysis, Stock Market, Swap Market, Testing, Time Series Analysis, Validation Testing, Web Analytics, Wholesale Industry, Writing Skills About the Company: Zema Global Data Corp