Research Analyst

About the Role
Highly technical price quant/ modelling expert with a strong commercial orientation to support our Trading and Portfolio teams through price market simulation, market intelligence, weather forecast, and all variables that can impact power prices. This role combines deep scientific expertise in price models in Brazil, weather, and climate modelling with hands-on application to Brazil's power market, deeply and highly knowledge of the price models and all variables that can affect forward prices, decision-ready insights for trading strategy and risk management.
Key Responsibilities
Deliver daily support to Trading and Portfolio teams through short-, medium-, and long-term weather and climate forecasting
Anticipate climate-driven market trends and their potential commercial impact
Continuously monitor physical system variables, including ENA (Energia Natural Afluente), reservoir storage levels, and system load
Build PLD (Preço de Liquidação das Diferenças) scenarios and run sensitivity analyses using Brazil's official power market models (NEWAVE and DECOMP)
Assess the commercial impact of alternative climate and hydrological assumptions on energy portfolios and trading strategies
Prepare concise, executive-level materials for senior management and the Board
Design and refine daily briefing formats for Trading and Portfolio teams to improve alignment and reduce decision-making uncertainty
Directly support buy and sell strategies through early identification of adverse climate scenarios
Lead automation initiatives to streamline ENA, PLD, and storage assessments, reducing execution time and manual error
Contribute to artificial intelligence projects applied to forecasting efficiency and operational robustness in the energy sector
Required Qualifications
Bachelor's degree in Mathematics, Physics or Engineering
Master's and Ph.D. in Sciences is a plus
6+ years of experience in trading desks running price models and weather/climate modelling
10+ years of experience in the energy industry, ideally in a trading or portfolio-support context
Strong working knowledge of NEWAVE and DECOMP models
Advanced programming skills in Python, Shell Script, and PowerShell
Experience with ensemble analysis and high-performance computing
Fluent in English (Spanish is a plus)
Preferred Skills & Attributes
Proven ability to get changes in the market (weather forecast, regulatory changes, model changes, etc) and translate them in a very fast way into insights to power traders
Having a large network capability to monitoring other houses and what they are thinking about the market
To take position about trading decision, taking part on the strategy of the desk
Proven ability to translate complex technical information into clear, business-relevant insights
Track record of building or improving automation workflows for forecasting and market analysis
Experience presenting to senior management or Board-level audiences
Exposure to AI/machine learning applications in energy forecasting
Strong quantitative mindset paired with commercial awareness of market volatility and risk-adjusted trading performance