Energy Economics Head

About the Role

SN Aboitiz Power Group is seeking a Energy Economics Head to lead our market modeling, forecasting, and quantitative research functions. Reporting directly to the AVP – Market and Revenue Portfolio, you will serve as the single point of accountability for developing short-, medium-, and long-term market price forecasts for energy, ancillary services, and renewable energy markets. This pivotal role provides financial decision-support models for corporate strategy, asset valuation, budgeting, mergers and acquisitions, and commercial contracting.

Key Responsibilities

• Market Modeling & Forecasting: Oversee the development, back-testing, and calibration of fundamental and probabilistic market models (e.g., PLEXOS, SDDP) for WESM, ancillary services, and regional grids (Luzon, Visayas, Mindanao).
• Asset Optimization & Hydro-Thermal Integration: Model complex operational constraints, including hydro cascade configurations, reservoir elevation/rule curves, and thermal plant availability/bidding behaviors.
• Financial & Valuation Decision Support: Provide quantitative models and sensitivity analyses to support strategic planning, project expansion, M&A, refinancing, and corporate revenue targets.
• Market Intelligence & Research: Monitor macroeconomic drivers, global fuel price movements, regulatory/policy shifts, demand growth profiles, and emerging power generation technologies (LCOE).
• Team Leadership & Innovation: Lead a team of Senior Analysts and Power Systems Specialists, while driving data science initiatives (e.g., Python-based market simulation tools) to improve modeling runtime and accuracy.

Role Qualifications

Experience & Background:

• Minimum of 8 years of substantial experience in energy economics, power market analysis, or market modeling with a background in leadership.
• Proven track record in electricity spot market operations (WESM), ancillary services, power system operation, and financial valuation.
• Experience managing cross-functional technical teams, data science initiatives, and multi-stakeholder projects.

Education:

• Bachelor's Degree in Engineering, Mathematics, Statistics, Applied Sciences, or related quantitative field.
• Preferred: Master's Degree or Ph.D. in Engineering, Energy Economics, or relevant quantitative discipline.

Key Competencies:

• Advanced knowledge of market simulation tools (Plexos, SDDP, Crystal Ball, Monte Carlo) and programming (Python).
• Deep understanding of macroeconomic principles, corporate revenue finance, and power system grid codes.
• Strong strategic thinking, communication, and executive presentation skills.