Home › Companies › Verse › Quantitative Analyst
Quantitative Analyst
Verse · San Francisco, CA · Hybrid · Active · $120,000–$155,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Verse |
| Title | Quantitative Analyst |
| Normalized title | - |
| Department / team | Engineering |
| Location | San Francisco, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | - |
| Salary | $120,000–$155,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-05-07 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Verse. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Verse |
| Source | 257e3ec6-0d26-4635-85d1-daf6a9f3d211 |
| ATS provider | Greenhouse |
Description
Location: San Francisco (Hybrid in SF highly preferred, US only)
What is Verse?
Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.
Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria , brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.
The Role
Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position, you will own research projects end-to-end from problem formulation through model development to production integration. Your work feeds directly into Aria and into decisions our customers make about how to procure, dispatch, and hedge their energy assets. For example, you might spend a cycle backtesting financial performance of renewable energy projects, encoding bespoke energy contract terms into reusable and scaled models, or developing a probabilistic model for medium-term energy price scenarios.
Key Responsibilities
Model & Forecast: Build and improve models for renewable generation, storage dispatch, and energy price prediction using machine learning, statistical methods, and optimization techniques.
Own Research Projects: Scope problems with product, engineering and customer teams, design solutions, validate results against industry benchmarks, and communicate findings clearly to both technical and non-technical audiences.
Software Development & Productionization: Integrate research outputs into Verse’s cloud-based production environment; write clean, well-documented Python code and leverage AI coding tools to accelerate development.
Develop Domain Expertise: Build foundational knowledge of electricity markets and renewable energy trends; develop an understanding of key drivers (e.g., load growth, market rule changes, and renewable deployment) and learn to incorporate relevant insights into renewable energy PPA modeling and analysis.
What We're Looking For (Minimum Qualifications)
Master's degree in a quantitative field (engineering, computer science, economics, mathematics, operations research, physics, or similar); or
Bachelor’s degree and 2+ years of energy sector experience
Solid foundations in machine learning and statistical modeling
Proficiency in Python, including scientific computing libraries (NumPy, pandas, scikit-learn)
Familiarity with wholesale electricity market fundamentals and renewable energy technologies
Ability to communicate technical findings clearly to both technical and non-technical audiences
What Will Make You Standout (Preferred Qualifications)
Direct experience with US or European wholesale electricity markets or utility tariff structures
Experience with energy procurement, power purchase agreements, or risk management
Experience modeling the operational and/or economic behavior of solar, wind, or energy storage
Foundational knowledge of mathematical optimization
Experience shipping models to production in a commercial or research environment
Experience developing probabilistic forecasting models and quantifying uncertainty
A PhD in a relevant quantitative field.
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.
Full job record
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| Board ID | 257e3ec6-0d26-4635-85d1-daf6a9f3d211 |
| Provider | greenhouse |
| Provider Job Key | 5213007008 |
| Title | Quantitative Analyst |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco, CA |
| Department | Engineering |
| Team | — |
| Employment Type | — |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | Base Pay Range $120,000 - $155,000 This is the estimated base salary range for this position, which does not inclu |
| Salary Min | 120,000 |
| Salary Max | 155,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/verse/jobs/5213007008 |
| Apply URL | https://job-boards.greenhouse.io/verse/jobs/5213007008 |
| First Seen At | 2026-05-29 22:56:45Z |
| Last Seen At | 2026-06-06 19:40:16Z |
| Last Checked At | 2026-06-06 19:40:16Z |
| Last Changed At | 2026-05-29 22:56:45Z |
| Inactive At | — |
| Source Posted At | 2026-05-07 15:22:02Z |
| Source Updated At | 2026-05-07 15:22:02Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=verse/date=2026-06-06/2026-06-06T19-40-15-970Z-72b4c47866d56dee2a0d426ad73216925ca7f125842db06c21e50d7326cdfe22.json |
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