Energy Market Quant – Build Models & Drive Planning

Socket.dev; Jacksonville (FL); On-site; USD 110,000 - 140,000; Full time

Job summary

The Energy Authority in Jacksonville, FL is seeking a Quantitative Analyst to join our Corporate Analytics team. You will build optimization, statistical, and production-cost models to guide energy market decisions and long-term planning for US utilities.

You’ll develop in-house tools using R, Python, SQL, and Excel, forecast energy prices, and contribute to IRP studies, working closely with clients and internal stakeholders.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• 3+ years of experience with electric utilities preferred.
• Strong knowledge of statistics, probability, finance and business analysis.
• Proficiency in programming languages (R, Python).
• Experience with large datasets and building analytical tools.
• Strong SQL/database skills and clear communication.

Responsibilities

• Design, develop, and implement optimization, statistical, machine learning, and production cost models.
• Build in-house software tools and data pipelines with R, Python, SQL, Excel/VBA.
• Forecast nodal and zonal energy prices across horizons using simulation models.
• Develop capacity expansion and production cost models for long-term planning.
• Model generation retirements/additions, load changes, market design changes, and transmission expansion.
• Deliver production-quality code from R&D through implementation.

Skills

Optimization modeling

Python

R

SQL

Data analysis

Statistics

Machine learning

Communication

Education

Bachelor's or Master’s degree in Engineering, Mathematics, Computer Science, Finance, Economics, Physics, or related quantitative discipline

Tools

PLEXOS

AURORA

PROMOD

Dayzer

YES Energy

Genscape

ABB Velocity Suite

Job description

The Energy Authority in Jacksonville, FL is seeking a Quantitative Analyst to join our Corporate Analytics team. You will build optimization, statistical, and production-cost models to guide energy market decisions and long-term planning for US utilities.

You’ll develop in-house tools using R, Python, SQL, and Excel, forecast energy prices, and contribute to IRP studies, working closely with clients and internal stakeholders.