Senior Resource Specialist

About the role

The Senior Resource Specialist (Energy Market Analytics) will apply data science to energy market challenges, supporting Metropolitan’s wholesale power portfolio in areas such as Data Management, Energy Risk Management, Market Analysis, Forecasting, and Optimization Modeling. This role drives the modernization of energy data management processes to support the transition to an emissions-free future.

Responsibilities

• Collaborate with internal staff and external consultants to develop an Energy Data Warehouse, including auditing existing data, documenting quality gaps, creating an energy data dictionary, and establishing automated data acquisition pipelines.
• Lead project teams in testing and validating analytical enhancements to ensure they meet performance and business requirements.
• Provide quantitative analytics expertise for Metropolitan’s wholesale electric power portfolio, including market price forecasting, resource optimization, and modeling complex deal structures to identify new business opportunities and enhance long-term resource planning.
• Support energy risk management analytics by developing models for forward curve validation, volatility analysis, Value-At-Risk, stress-testing, and portfolio optimization.
• Develop analytics tools and dashboards to improve financial reporting, portfolio performance, and decision-making.

Requirements

Minimum Qualifications:

• A Bachelor’s degree from an accredited college or university in a related field and eight years of relevant experience, or an advanced degree in a related field and six years of relevant experience.
• Relevant experience with wholesale energy supply and demand structures; financial modeling and analysis; evaluating wholesale electricity markets to identify trends, impacts on asset value, and risks; and valuation and energy risk management approaches for generation assets.

Desirable Qualifications

• Experience in asset valuation, risk management, or trading, specifically focusing on Western US wholesale markets, renewable energy/storage assets, and PPA structures.
• Advanced degree or equivalent work experience in a highly quantitative field (e.g., Data Science, Math, Statistics).
• Experience using Python, R, or SQL to build, scale, and operationalize automated analytical models and pipelines in cloud environments.
• Demonstrated experience using data visualization tools like Tableau or PowerBI.

Schedule

44/36 schedule: Monday through Friday, with every other Friday off. Monday through Thursday: 9 hours per day; every other Friday: 8 hours per day. Start times are no earlier than 6:00 AM and end times are no later than 6:00 PM.

Hybrid work schedule: Typically includes two days a week in-person and the remaining days remote. This is subject to change based on organizational needs.

Benefits

• Competitive compensation.
• Excellent medical, dental, life, and vision plans.
• Deferred compensation: 401(k) plan with matching contribution and a 457 plan.
• Retirement benefits under the California Public Employees' Retirement System.
• Tuition reimbursement.
• Training and advancement opportunities.
• Public transportation reimbursements.
• On-site fitness center.