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
Requirements
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
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
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
Benefits
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.