Energy Market Quant – Forecasting & Dispatch Modeling

Verse
San Francisco, US
On-siteCareer-pivot friendly

Why this role

Pace
Fast Paced
Collaboration
Medium
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • development of predictive models
  • integration of models into cloud environments
  • generation of accurate forecasts
Typical background
Master's degree in Data Science, Machine Learning or related fieldrelevant experience in quantitative analysis

Transferable backgrounds

  • Coming from Quantitative Analyst
  • Coming from Data Scientist

Skills & requirements

Required

Machine LearningStatistical ModelingPythonModel BuildingCloud Integration

Preferred

Renewable Energy KnowledgePrice Prediction Models

Stack & domain

Machine LearningStatistical ModelingPythonRenewable EnergyPrice Prediction

About the role

Original posting from Verse

Verse is seeking a Quantitative Analyst for their Data Science Team in San Francisco. The role involves building models for renewable energy and price prediction, integrating solutions into cloud environments, and requires a Master's degree or Bachelor's with relevant experience. Candidates should be proficient in machine learning, statistical modeling, and Python. Salary ranges from $120,000 to $155,000, with benefits including equity, flexible hours, and unlimited PTO.

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Source: Verse careers

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