Environmental Markets Analyst

Description

• Occasionally lift objects of up to 10 pounds in weight
• Use computers with exposure to video display terminals; and some repetitive motion associated with data entry, the use of a computer mouse, and while using other office equipment.
• Collaborate with other teams to identify possible market scenarios and integrate these as sensitivity analyses into various market forecasts.
• Present analysis and market insights to portfolio managers, management, and risk teams; formats include written, verbal, and PowerPoint.
• Occasionally stand or walk and stoop or kneel. Frequently, the employee is required to sit.
• Design, build, and maintain financial, trading, and supply-demand models for various markets; create forecasts to identify trading opportunities and support investment decisions.
• Conduct research and analysis of renewable energy, fuels, and carbon market data and trends.
• Work with Operations, Settlements, and Risk teams to maintain and improve proprietary portfolio management programs and tools.

Requirements

• At least two years of professional experience in renewable fuels, renewable energy, and/or carbon markets
• A bachelor’s degree from an accredited college or university
• Thorough understanding of North American carbon markets, including, but not limited to, supply and demand, logistics, regulations and operations.
• Advanced proficiency in Microsoft Excel and other analytical tools.
• Ability to handle multiple assignments on a timely basis with a high degree of accuracy.
• Ability to work effectively with people at all levels, both within and outside the company.
• Ability to effectively communicate orally and in writing.
• Vision requirements for this position include close vision, color vision, depth perception and the ability to adjust focus.
• Talk or hear, both in person and by telephone; use wrists, hands and/or fingers in a repetitive motion; and reach with hands and arms extensively.
• Ability to work independently, prioritize tasks, and meet tight deadlines.
• Proficiency in R, Python, SQL, VBA, or other statistical languages.
• Strong communication and presentation skills, with the ability to convey complex information clearly and concisely.
• Ability to operate in a fast-paced dynamic commodity market environment, where there are often time constraints and time sensitive deadlines.
• Demonstrable proficiency in data analysis and financial modeling

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance