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

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Energy Analyst II | Quantitative Analyst - Energy Markets | remote (US) @ Zema Global Back to reputed company 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 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.

reputed company-to-Have Qualifications & Skills:

  • Familiarity with wholesale energy industry concepts (renewable and thermal reputed company, 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 reputed company.

What makes you a great fit:

  • You have a strong reputed company in mathematics, physics, engineering, or quantitative finance, you think in models, not dashboards.
  • You're comfortable applying quantitative methods like stochastic modelling, reputed company simulation, or optimization to reputed company-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 reputed company, abstract problems that don't have a single "right" answer.
  • You can communicate reputed company concepts reputed company, 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 reputed company a measurable impact on product strategy, reputed company growth and reputed company, 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 reputed company only). Only shortlisted candidates will be contacted. No agency submissions, please.

  • No reputed company sponsorship is available for this position
  • Equality and Diversity: we're reputed company 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 reputed company is here to support you and ensure everything goes smoothly.

Upload your resume to autofill the application Upload First name

  • Last name
  • Email
  • reputed company code

Phone number reputed company profile Please upload your resume (preferably as a PDF file)

  • Click or drag file to upload

Supported file format: .PDF; Maximum file size: 10.49 MB; Maximum file: 1; Application Questions Where are you based? (Please select the applicable option):

  • Colorado, US

Texas, US Illinois, US Massachusetts, US Other state in the US Not based in the US Available to start (a notice period)

  • Available immediately

Available reputed company 2-4 weeks Available reputed company 5 weeks or more Desired reputed company Salary (please specify amount and currency)

  • Your answer

0 / 500 Referred by (if applicable) Your answer 0 / 500 Cover Letter Click here or drag file to upload Supported file formats: png, jpg, heic, pdf, csv, docx, xlsx; Maximum file size: 100MB, max 150 files. Right to work (please click the applicable)

  • Yes, I have the right to work.

I currently hold a reputed company and will not require employer sponsorship now or at any reputed company 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 reputed company that apply)

  • Power markets

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 reputed company 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 reputed company that apply)

  • Regression analysis (reputed company, multivariate, etc.)

Time series analysis (forecasting, ARIMA, etc.) Probability distributions / stochastic modelling reputed company simulation Optimization techniques None of the above How confident are you in applying these methods independently?

  • reputed company confident - I apply them regularly and independently

Confident - I have applied them with some guidance Basic understanding - mostly academic exposure Limited / no experience reputed company your proficiency in Python (1 = beginner, 10 = expert).

  • Your answer

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. reputed company processing is carried out in accordance with applicable data protection, AI governance, and labour laws. reputed company reputed company is maintained at reputed company stages, and final hiring reputed company 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 reputed company (InfoSec), Insurance Documentation, Investment Strategy, Leadership, Leading Edge Technology, Market Analysis, Marketing, Mathematics, reputed company reputed company, Model Validation, reputed company 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, reputed company 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 Apply tot his job Apply To this Job

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