Quantitative Analyst

The Energy Authority Inc•Jacksonville, FL

13h

About The Position

TEA’s Corporate Analytics team uses their diverse backgrounds and skillsets to solve highly technical and challenging problems related to energy markets. We are looking for a motivated, self-driven individual to join the Corporate Analytics team as a Quantitative Analyst. In this role, you will develop tools that assist both clients and front office staff in making analytically driven decisions. In addition, this role expects the candidate to assist the Resource Planning team with Integrated Resource Plans (IRPs), and analysis which focus on the mid- to long-term portfolio expansion studies for US-based utilities operating in either an organized or bilateral energy market. You will help drive innovation by developing and maintaining capacity expansion and production cost software models used for long-term planning studies, building your market domain knowledge, and cultivating strong relationships with our external clients and internal stakeholders. This is a high-impact role in which your work will be visible, your contributions will make a difference, and you will contribute to the energy transition that is currently taking place across US energy markets.

Requirements

Bachelor’s or Master’s degree in Engineering, Mathematics, Computer Science, Finance, Economics, Physics, or a related quantitative discipline.
3+ years of experience working in or directly with electric utilities preferred.
Strong working knowledge of statistics, probability, finance, and business analysis.
Proficiency in one or more object-oriented programming languages (R, Python, etc.).
Experience working with large datasets, building analytical tools, and extracting meaningful insights.
Strong database and query skills (SQL or equivalent).
Excellent oral and written communication skills.
Ability to manage multiple projects in a fast-paced, collaborative environment.
High attention to detail, strong problem-solving skills, and a proactive mindset.

Nice To Haves

Experience with energy market modeling tools such as PLEXOS, AURORA, PROMOD, or Dayzer.
Experience with YES Energy, Genscape, ABB Velocity Suite, or similar market data platforms.
Professional certifications such as PE, CFA, PRM (GARP) are a plus.
Prior experience supporting Integrated Resource Plans (IRPs) and long-term planning studies.

Responsibilities

Design, develop, and implement optimization, statistical, machine learning, and production cost models to support decision-making.
Build and maintain in-house software tools and data pipelines using R, Python, SQL, Excel/VBA, and other programming languages.
Forecast nodal and zonal energy prices across short- and long-term horizons using fundamental simulation models.
Develop and maintain capacity expansion and production cost models used for long-term planning studies.
Model and evaluate the impacts of generation retirements/additions, load changes, market design changes, and transmission expansion.
Deliver production-quality code through the full lifecycle—from R&D through implementation.
Translate client and internal stakeholder challenges into well-defined quantitative questions using sound methodologies.
Provide clear, actionable insights from model outputs to support informed decision-making.
Participate in project scoping, internal and external client meetings, presentations, and ongoing communications.
Review model outputs, recommend enhancements, and collaborate with teammates on improvements.
Evaluate key model assumptions including fuel prices, resource costs, load forecasts, market prices, and transmission constraints.
Provide electric utility and market insights to clients and internal stakeholders.
Mentor team members and contribute to the growth and development of the Corporate Analytics team.