Quantitative Analyst

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RenewaFi · Remote (USA)

Data + Analytics
Clean Energy
$115,000 - $200,000 Per Year
Posted 4 weeks ago

Excel
Python
Machine Learning
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About RenewaFi 

RenewaFi is a venture capital-backed startup helping renewable energy professionals decarbonize America’s grid. We operate a marketplace where more than 230 such professionals from over 85 firms negotiate billions of dollars’ worth of renewable energy transactions. We also provide a data resource to help these professionals make better decisions by providing a clear view of what to expect from the market. 

 

The Role 

RenewaFi is seeking a Quantitative Analyst to help shape the future of renewable energy finance. We are looking for an individual with a deep intellectual curiosity who can meaningfully impact our company and mission. You’ll help develop models that serve renewable energy professionals and delivery insights by collaborating with our Product, Engineering and Commercial specialists to gather, organize, and evaluate large datasets from various sources. 

 

The ideal candidate will be energized by the challenge of delivering valuable insights and products to renewable energy professionals in our community. You will be taught renewable energy finance so that you can combine industry knowledge with expertise in identifying, collecting, analyzing, and visualizing data. 

 

As an early member of our team, you will have a foundational impact on our approach to data analysis and our company culture. The decisions you make will be yours to see through, and the results of your work will be evident in weeks, not months. Your thoughts and opinions on our roadmap will be highly valued and instrumental in shaping the initiatives we pursue. 

 

This role offers an unparalleled opportunity for you to gain experience in renewables and startups. It is ideal for a Quantitative Analyst excited about creating genuinely innovative insights. 

 

Qualifications 

  • Previous experience with quantitative modeling for renewable energy products. 
  • A strong foundational understanding of statistics. 
  • Experience with architecting data pipeline solutions, machine learning, and time-series analysis. 
  • Proficiency in Python and essential data analysis libraries. 
  • A fearless approach to finding and wrangling new data sources. 
  • Ability to create compelling visual representations of your data analyses. 
  • A commitment to continuous improvement in both your work and work environment. 

 

Nice to Haves 

  • You value open source and actively contribute to projects that pique your interest. 
  • Experience with renewable energy products, but experience with financial or energy products would also suffice. 
  • You sleep well at night knowing that your code is ‘well documented.’ 

 

Responsibilities 

  • Research, build, enhance, test and maintain energy financing models. 
  • Collaborate across teams to develop new products and discover valuable insights. 
  • Conduct descriptive and prescriptive analysis. 
  • Build models to expand our understanding of the data. 
  • Find, clean, and validate large datasets. 
  • Collect and incorporate data from various sources. 
  • Stay current on renewable energy markets and prioritize our clients' needs. 
  • Contribute to a culture of continuous improvement, always leaving the code and workspaces better than you found them.

 

Diversity Statement 

RenewaFi is defining the future of renewable energy finance, and an essential part of that is prioritizing a workplace that embraces diversity of thought and identity. We believe in supporting people of varied backgrounds to grow meaningful careers wherein they are empowered to share perspectives that have been historically underrepresented in the tech and energy industries. The organization we are building is one in which integrity, empathy and grit are valued above stamps on a resume. If you do not have every qualification in this listing but share these values and are passionate about our mission, we want you to apply! 

 

Benefits 

  • Meaningful employee stock options 
  • 20 paid vacation days 
  • Flexible remote options 
  • Competitive salaries 
  • Excellent health benefits 
  • 401k matching 

 

Salary

$115,000 - $200,000 per year

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