Quantitative Analyst
Today
Scottsdale, Arizona, United States
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Job Description
Arevon Energy, Inc. is seeking a Quantitative Analyst for its Market Operations team in Scottsdale, AZ. The role involves developing algorithms and predictive models for the energy storage portfolio, collaborating across teams, and analyzing operational assets. Candidates should have at least 1 year of experience in data analysis, programming skills, and a Master's degree in a relevant field. Arevon emphasizes diversity, equity, and inclusion in the workplace.
About Arevon
Headquartered in Scottsdale, Ariz., and New York City, Arevon Energy, Inc. is a leading independent producer of utility-scale renewable power across the United States. The company has around 4 GW of solar and energy storage projects in operation and under construction, representing $4 billion of investment, and a 5 GW pipeline. With a team of more than 200 people and a strong investor base, Arevon is growing rapidly through both development and M&A activities. Arevon also leverage decades of experience to provide asset management services to other clean energy owners. The company is backed by institutional investors that together manage more than $1 trillion in assets and have a strong focus on sustainability investments. Arevon is powering the energy transition.
Diversity, equity, and inclusion are central to everything we do. Arevon thrives on and celebrates different views, beliefs, and values. We are committed to our talented team and partners, regardless of background or affiliation, and to actively promoting diversity, equity, and inclusion throughout our business. We strive to be a place where you can be you and bring yourself to work.
Arevon is an Equal Opportunity Employer committed to diversity, equity and inclusion in the workplace. Qualified applicants will receive consideration for employment without regard to race, color, national origin, gender, gender identity, gender expression, age, religion, mental or physical disability, sexual orientation, genetic information, veteran or marital status, or any other legally protected category.
The Position
Arevon is recruiting for the position of Quantitative Analyst on the Market Operations team, an outstanding opportunity for individuals seeking an exciting, high-growth work environment in one of the most important industries of the 21st century.
Job Description
The Quantitative Analyst will be responsible for developing algorithms, predictive models, and optimization methods to support Arevon’s energy storage portfolio. This position will collaborate with other teams throughout Arevon to develop and understand development and operating assumptions for both new investment opportunities, as well as current assets.
Essential Responsibilities and Duties
• Builds out and maintains performance reports and analyses of operational assets.
• Translate quantitative research and analysis into actionable insights, prepare visualizations and present findings internally and externally.
• Develops machine learning, optimization, and other modeling solutions.
• Works with big data and distributed computing platforms.
• Performs other job-related duties as assigned.
Experience Requirements
• 1+ years of experience in data analysis and modeling.
• Programming skills with at least one scripting language (e.g. Python, R).
• Experience with SQL and predictive modeling/ ML tools.
• Proficient in concepts of mathematical programming and modeling practices.
• Ability to handle and analysis large-scale unstructured data.
• Strong ability to display craft skill and technical skill to transform complex business problems into structured quantitative models.
Education Requirements
• Master’s degree in Applied Math, Statistics, Operations Research, Computer Science, Economics or equivalent.
Arevon
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51 - 200
Sector: EnergyAbout this company
At Arevon, Insight + Anticipation = Results. We are North America's leading renewable energy company, offering comprehensive renewable energy infrastructure solutions to institutional investors and long-term owners that maximize value...read more
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