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Energy Markets Intern (MISO) at Voltus in Remote
InternshipRemoteRemote$42k–$52k/yr
Skills
energy marketsdemand-side resource managementquantitative risk modelingpythonrmatlabsqlexcelfinancial marketsrisk management strategiesstatistical modelingprobabilistic modelingintellectual curiositywork through ambiguity
Job Description
Summary: Voltus is a company focused on managing energy through demand response programs. They are seeking an entrepreneurial intern to assist in developing quantitative risk models and analyzing energy markets.
Responsibilities:
- Develop scalable quantitative risk models and automated tooling to inform market positioning strategies for energy commodities
- Create analysis tools to statistically weight possible outcomes of various positions as well as associated risks
- Support research into energy markets to identify and model key long-term supply and demand drivers for energy market products
- Recommend risk management strategies based on research outcomes, and develop processes for implementation of such strategies across Voltus’s energy market portfolios
Required Qualifications:
- Desire to become an expert in understanding the role of demand-side resources in energy markets
- Background in a quantitative field such as Mathematics, Economics, Finance, or Engineering is required; MBA experience is preferred
- Proficient in Python, R, Matlab or similar, as well as SQL and Excel
- Strong understanding of financial markets, risk management strategies, and statistical/probabilistic modeling
- Must be Bright, Gritty, and Good as well as intellectually curious and comfortable working through ambiguity in a remote, fast-paced environment
Preferred Qualifications:
- MBA experience
- Previous experience in energy markets, trading, or market analysis is highly desirable, but not required
- Demonstrable prior success in a remote environment strongly preferred
Required Skills: Energy markets, Demand-side resource management, Quantitative risk modeling, Python, R, Matlab, SQL, Excel, Financial markets, Risk management strategies, Statistical modeling, Probabilistic modeling, Intellectual curiosity, work through ambiguity