Descripción de la vacante
Grenergy Renovables
Spain, Pozuelo de Alarcón
Quantitative Analyst – Energy Trading en Pozuelo de Alarcón, España is listed on Jobeax. Browse 80,000+ vacancies available.
Do you want to drive the energy transition from within?
We are looking to bring a Quantitative Analyst - Energy Trading into our Energy Management team, with a clearly quantitative profile and experience in energy markets and trading.
The position will focus on developing models, signals, and quantitative strategies that anticipate market movements and optimize the operation and profitability of BESS assets.
Develop forecasting models for prices, spreads, volatility, and other electricity market variables.
Research and validate quantitative trading signals and strategies, including backtesting and performance analysis.
Analyze opportunities in Day-Ahead, Intraday, and Balancing Services markets.
Develop optimization and bidding models for BESS across multiple markets.
Apply Machine Learning, statistics, and optimization to improve decision-making under uncertainty.
Work with traders and Energy Management to turn models into operational decisions with P&L impact.
Degree in Mathematics, Physics, Engineering, Statistics, Quantitative Economics, or a related field.
Experience in energy trading, power markets, or quantitative research applied to energy as a Quant Analyst, Quant Researcher, or Quant Trader in the energy sector.
Experience in forecasting, time series, statistical modeling, and backtesting.
Solid understanding of how electricity markets work and their drivers.
Advanced programming skills in Python and a strong statistical foundation.
Knowledge of stochastic optimization, Machine Learning, or Reinforcement Learning applied to trading.
Experience taking models from research to production and real market decisions.
Fluent level of English
¿Quieres impulsar la transición energética desde dentro?
Buscamos incorporar un/a Quantitative Analyst - Energy Trading a nuestro equipo de Energy Management, con un perfil claramente cuantitativo y experiencia en mercados energéticos y trading.
La posición estará enfocada en desarrollar modelos, señales y estrategias cuantitativas que permitan anticipar movimientos de mercado y optimizar la operación y rentabilidad de activos BESS.
Desarrollar modelos de forecasting de precios, spreads, volatilidad y otras variables de mercados eléctricos.
Investigar y validar señales y estrategias cuantitativas de trading, incluyendo backtesting y análisis de performance.
Analizar oportunidades en mercados Day-Ahead, Intraday y Balancing Services.
Desarrollar modelos de optimización y bidding de BESS en múltiples mercados.
Aplicar Machine Learning, estadística y optimización para mejorar decisiones bajo incertidumbre.
Trabajar con traders y Energy Management para convertir modelos en decisiones operativas con impacto en P&L.
Formación en Matemáticas, Física, Ingeniería, Estadística, Economía Cuantitativa o similar.
Experiencia en energy trading, power markets o quantitative research aplicado a energía como Quant Analyst, Quant Researcher o Quant Trader en energía.
Experiencia en forecasting, series temporales, modelización estadística y backtesting.
Conocimiento sólido del funcionamiento y drivers de los mercados eléctricos.
Programación avanzada en Python y sólida base estadística.
Conocimientos de optimización estocástica, Machine Learning o Reinforcement Learning aplicados a trading.
Experiencia llevando modelos desde research hasta producción y decisiones reales de mercado.
Nivel de inglés fluido
This job was automatically translated to English, .
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