Transmission and Congestion Analytics Associate

Leeward Renewable Energy•Dallas, OR

About The Position

LRE (Leeward Renewable Energy) is a high-growth renewable energy company forging a sustainable future through integrity, innovation, and positive impact. We own and operate 30 large wind, solar, and energy storage projects across the United States, totaling over 3 gigawatts (GW) of generating capacity. LRE has an ambitious goal of 10GW of operating assets by 2028 and are developing and contracting an increasing pipeline of new projects every year. We take a full-lifecycle approach to our projects, built on a long-term ownership model and a company culture dedicated to our community partners and protecting the environment. Job Summary: The Transmission and Congestion Associate will lead and support modeling transmission systems and pricing congestion risk across Leeward’s portfolio. Working with the Manager of Congestion and Market Analytics, Basis Traders, and Director of Portfolio Management, the Associate will help implement the LRE Congestion Plan and identify congestion risks and opportunities through advanced market and transmission analysis. “The position is a foundational role within congestion and market analytics, providing a pathway to senior analytics, strategy, or Congestion Trading roles. They will maintain congestion models and data, support risk mitigation strategies through Virtuals and FTR/TCC/CRRs, and lead market intelligence efforts across PJM, ERCOT, MISO, and CAISO. Proficiency in power flow modeling and contributing to quarterly Board reporting is essential.

Requirements

3 to 5 years’ experience in congestion, transmission, or energy market analytics, including experience supporting FTR-related analysis.
Experience with transmission modeling, virtual transactions and FTR auctions across multiple ISOs, PJM, ERCOT and CAISO preferred.
Knowledge of wholesale markets power markets and general ISO operations
Strong understanding of transmission systems, drivers of nodal pricing changes and associated power flows.
Strong understanding of transmission shift factors, statistics and probabilistic analysis.
Can run, scope and interpret power flow models such as Pro-Mod, Power World and/or others.
Critical thinker with strong analytical skills capable of identifying risk mitigating and revenue enhancing strategies.
Experience with transmission modeling tools (Dayzer, YES, etc.)
Experience working within SQL and database structures preferred.
Must hold bachelor’s degree in STEM or a business discipline.
Tableau or Power BI skills preferred.
Proficient with Excel and Word
This position will travel 10% of time.
Position will require sitting for long periods of time as well as occasionally lifting up to twenty-pound boxes.
Applicants must have current authorization to work for any employer in the United States on a full-time basis without the need for an employment visa now or in the future.
Employer visa sponsorship is not available for this role.

Responsibilities

Research, model, and price congestion fundamentals (sources and sinks) in multiple ISOs.
Validate and analyze congestion models for accuracy and completeness.
Manage/mine large data sets to identify and price trading opportunities that mitigate basis risk and enhance/protect expected revenue.
Perform quantitative analyses and econometric studies of energy markets and translate wholesale market changes into strategic opportunities.
In collaboration with the Transmission group and Manager of Congestion and Trading Analytics, maintain, execute, and calibrate power flow optimization models (e.g. YES, Powerworld, Dayzer) needed to develop trading strategies.
Provide daily analysis of market congestion set-up to inform congestion risk assessments and support virtual and PTP transaction decision-making.
Develop, update, and participate in the execution of the LRE Congestion Plan.
Contribute to the LRE’s research and innovation activities supporting development of new techniques and/or analytical tools, enhancing LRE’s transactional capabilities.
Produce nodal LMP forecasts across multiple ISOs for short-term and long-term cases.
Collaborate with trading teams to run ad-hoc sensitivity cases.
Ability to lead analytical preparation for congestion products auctions, including pricing analysis, scenario modeling, and risk evaluation.
Establish and maintain working relationships with internal and external contacts that support the development of data driving the LRE models.