About the Role
Role details below.
Responsibilities
- Take ownership of incoming client inquiries and routine research requests, serving as a primary point of contact to significantly reduce senior team workload and increase overall team bandwidth.
- Independently lead conference calls and presentations with corporate strategy teams and institutional investors, articulating thesis work on the intricacies of power markets and all the factors influencing power prices with confidence and authority.
- Design, update, maintain and improve proprietary research models critical for formulating opinions on the futures state of power markets and power assets including outlooks on all things critical for modelling power markets.
- Ensure research models support research publications and are integrated with Enverus’ proprietary technology platform, Enverus Prism™.
- Aggregate and analyze large data sets to identify trends, characterize opportunities, build forecasts, and generate opinions on market activity, assets and companies.
Requirements
- Excellent interpersonal and communication skills
- Strong attention to detail
- Strong work ethic
- Proven ability to analyze and concisely articulate complex ideas through writing and verbal presentations to a wide range of audiences
- Bachelor’s or advanced degree in Engineering, Economics, Computer Science, or related field
- Outstanding record of academic achievement and demonstrated aptitude for analytics
- Deep understanding of power markets is critical to this role
- Demonstrated ability to synthesize actionable analysis from large, dynamic data sets
- Ambition to work collaboratively on an interdisciplinary team of subject matter experts with a steep learning curve and commitment to career development
- Self-motivated with a strong desire to develop a deep understanding of power markets and the technologies and companies driving the energy transition and to become the leading expert in this field
- Has a can-do attitude along with a deep sense of curiosity
Nice to Have
- Experience modelling power systems
- Experience using Python
- Advanced Excel skills
Additional Information
- The role requires a steep learning curve and a commitment to career development.
- The candidate must be able to work collaboratively in an interdisciplinary team environment.
