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Verse (verse.inc)

Quantitative Analyst

Reposted 4 Days Ago
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In-Office
San Francisco, CA
120K-155K Annually
Mid level
Easy Apply
In-Office
San Francisco, CA
120K-155K Annually
Mid level
As a Quantitative Analyst, you'll conduct advanced research on energy systems, apply machine learning and optimization techniques, and analyze data to support renewable energy decision-making.
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Location: San Francisco (Hybrid in SF highly preferred, US only)

What is Verse? 

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.

The Role

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.

Key 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.

What We're Looking For (Minimum Qualifications)

  • 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.

What Will Make You Standout (Preferred Qualifications)

  • 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.

What Makes Verse a Great Place to Work? 

  • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
  • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
  • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
  • Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$120,000 - $155,000

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks 

  • 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 

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.




Top Skills

Python
HQ

Verse (verse.inc) San Francisco, California, USA Office

San Francisco, CA, United States, 94111

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