Quantitative Analyst

Brookfield Renewable U.S. • New York, NY

15h • $100,000 - $120,000

About The Position

Working with the Commercial Operations team, the Quantitative Analyst is responsible for building models and data processes to value renewable generation assets and complex transactions in US power markets. These models will be incorporated into databases and business intelligence reporting to provide scalable valuation tools. The Power Quantitative Analyst will be responsible for assembling disparate data sources to create a centralized view for scenario analysis of existing assets as well as prospective transactions.

Requirements

• Team player with strong analytical skills and attention to detail.
• Ability to make decisions involving varied levels of risk and ambiguity.
• Excellent written and oral communications skills.
• Well-organized and able to synthesize and conceptualize complex ideas.
• Self-motivated with demonstrated initiative.
• Heightened interpersonal and influencing skills.
• Able to meet multiple objectives in a dynamic, fast-paced, team environment.
• Bachelor’s degree in engineering, economics, business, finance, information technology, or other relevant discipline.
• Proficiency in one or more programming languages (Python, Matlab, R, etc.) is required.
• Advanced knowledge of MS Excel.
• 2-5 years’ experience with electricity market operations is required.
• Knowledge of the bulk power system in the US.

Nice To Haves

• Tableau or other Business Intelligence skills preferred.
• Knowledge of SQL is preferred.

Responsibilities

• Become a subject matter expert on sources of relevant pricing input data.
• Research and evaluate suitable pricing models for generation assets.
• Build prototype models in excel; implement these in a database / business intelligence layer.
• Respond to requests from other Brookfield entities for data and analysis.
• Develop expertise in Brookfield’s ETRM system, acting as a subject matter expert for the commercial team.
• Build settlement models to evaluate ex-post performance vs forecast; develop a Pill attribution model and reporting layer.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level