Quantitative Analyst
About The Position
Organizations today are under growing pressure to navigate the transition to clean energy — not just to meet sustainability goals, but to manage risk, control costs, and build long-term resilience. Yet the complexity of energy markets and a lack of accessible tools have made it difficult for most companies to take meaningful action. Verse was created to change that. Our mission is to make the case for clean energy irrefutable. Through our AI-powered platform, Aria, we help organizations plan, procure, and operate clean energy to achieve their financial and sustainability goals. Verse transforms clean energy ambition into action — giving businesses the clarity and confidence to lead in a rapidly evolving energy landscape. Verse is seeking an experienced Quantitative Analyst to join our Data Science Team. In this position, you will play a key role in advancing cutting-edge algorithms to solve problems in electricity markets, renewable procurement, and risk management. Your research will help our customers deploy and operate renewable energy and battery storage resources, and will contribute to the transition toward a low-carbon economy. As a member of the Verse team, you will work in an interdisciplinary and collaborative environment where your expertise in energy systems, machine learning, optimization, and statistical methods will be key to delivering impactful solutions.
Requirements
- Masters Degree (or higher) in Engineering, Economics, Computer Science, Operations Research, or a related field. A bachelor’s degree in a quantitative discipline with 3 years of experience in the energy industry may be considered in place of a graduate degree.
- Expertise in machine learning, optimization techniques, and statistical methods applied to energy systems.
- Understanding of energy technologies, including solar, wind, battery storage, and grid integration.
- Strong analytical, problem-solving, and critical thinking skills, particularly in the application of machine learning and optimization methods to energy challenges.
- Proficiency in Python programming and data analysis tools.
- Strong experience in applying statistical methods to real-world energy data.
- Excellent written and verbal communication skills, with the ability to present complex findings clearly to both technical and non-technical audiences.
- Ability to collaborate effectively in multidisciplinary teams.
Nice To Haves
- PhD in Engineering, Operations Research, Economics or related field.
- Familiarity with electricity markets (US and global), grid-scale and/or BTM battery storage, energy project development and operation is highly desirable.
- Previous experience in a consulting role is a plus, particularly related to energy systems or technology development.
- Deep knowledge of electricity markets and financial risk.
- Previous experience working in industry or with government agencies on energy-related projects.
Responsibilities
- Conduct Advanced Research: Lead and contribute to high-impact research focused on energy systems, including renewable energy (solar, wind, etc.), energy storage, and novel technologies (e.g. green hydrogen). Independently develop data-driven solutions to problems our customers in this sector are facing.
- Machine Learning & Optimization: Apply machine learning algorithms, optimization techniques, and statistical methods to analyze energy data, advance our software offerings, and improve support for decision-making in the energy sector.
- Data Analysis and Modeling: Use advanced data analysis techniques, simulations, and energy modeling tools to forecast and provide insights relative to the performance of renewable energy resources, battery storage, and novel technologies.
- Collaboration and Teamwork: Work closely across business units and with our customers to share findings and ensure research outcomes are applied to real-world problems.
- Stay Current with Industry Trends: Stay up-to-date with developments in electricity markets and in advancements in quantitative research methods.
Benefits
- Competitive compensation and equity grant at a high-growth start up
- Comprehensive benefits package including medical, dental and vision insurance, and 401k
- Flexible hours and unlimited PTO
- Diverse and inclusive working environment
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
