PE Global Energy
Quantitative Analyst
PE Global Energy, Houston, Texas, United States, 77246
Join a leading energy company based in Texas, focusing on innovation and efficiency within the power markets.We are seeking a skilled
Quant Analyst.
This role will involve working in fast-paced energy markets, using quantitative models and data-driven strategies to support our real-time power trading operations.Role Overview:As a
Quant Analyst , you will develop, implement, and maintain models and analytics that drive our intraday power trading and decision-making. You will work closely with traders, risk managers, and data engineers to provide real-time insights, optimize trading strategies, and forecast short-term market movements. Your analytical skills will be critical in managing market volatility and enhancing profitability in the highly dynamic intraday power markets.Key Responsibilities:Develop quantitative models for intraday power trading, focusing on price forecasting, market trends, and volatility analysis.Monitor and analyse real-time market data, providing traders with actionable insights to optimize intraday trading decisions.Collaborate with traders and risk managers to adjust strategies based on live market conditions, optimizing risk and return.Use statistical techniques and machine learning algorithms to model short-term power price movements and supply-demand dynamics.Conduct back-testing and validation of models to ensure accuracy and robustness in volatile market conditions.Stay up-to-date with market developments, grid dynamics, regulatory changes, and market structure to refine trading models.Work closely with data engineers and software developers to integrate models into trading systems and automate data flows.Skills & Qualifications:Bachelors or Masters degree in Mathematics, Physics, Engineering, Finance, Data Science, or a related quantitative field.Strong experience in quantitative modelling, particularly in intraday power or energy markets.Proficiency in Python, R, MATLAB, or similar programming languages, and experience with data visualization tools (e.g., Power BI, Tableau).In-depth knowledge of power market fundamentals, including supply-demand dynamics, grid constraints, and price formation.Familiarity with real-time data processing and algorithmic trading systems.Experience working in fast-paced, high-pressure environments, with strong attention to detail and risk management skills.Excellent problem-solving and analytical abilities, with strong communication skills for effective collaboration with traders and risk teams.If of interest, please send your CV to logan.kelly@peglobal.co.uk
Quant Analyst.
This role will involve working in fast-paced energy markets, using quantitative models and data-driven strategies to support our real-time power trading operations.Role Overview:As a
Quant Analyst , you will develop, implement, and maintain models and analytics that drive our intraday power trading and decision-making. You will work closely with traders, risk managers, and data engineers to provide real-time insights, optimize trading strategies, and forecast short-term market movements. Your analytical skills will be critical in managing market volatility and enhancing profitability in the highly dynamic intraday power markets.Key Responsibilities:Develop quantitative models for intraday power trading, focusing on price forecasting, market trends, and volatility analysis.Monitor and analyse real-time market data, providing traders with actionable insights to optimize intraday trading decisions.Collaborate with traders and risk managers to adjust strategies based on live market conditions, optimizing risk and return.Use statistical techniques and machine learning algorithms to model short-term power price movements and supply-demand dynamics.Conduct back-testing and validation of models to ensure accuracy and robustness in volatile market conditions.Stay up-to-date with market developments, grid dynamics, regulatory changes, and market structure to refine trading models.Work closely with data engineers and software developers to integrate models into trading systems and automate data flows.Skills & Qualifications:Bachelors or Masters degree in Mathematics, Physics, Engineering, Finance, Data Science, or a related quantitative field.Strong experience in quantitative modelling, particularly in intraday power or energy markets.Proficiency in Python, R, MATLAB, or similar programming languages, and experience with data visualization tools (e.g., Power BI, Tableau).In-depth knowledge of power market fundamentals, including supply-demand dynamics, grid constraints, and price formation.Familiarity with real-time data processing and algorithmic trading systems.Experience working in fast-paced, high-pressure environments, with strong attention to detail and risk management skills.Excellent problem-solving and analytical abilities, with strong communication skills for effective collaboration with traders and risk teams.If of interest, please send your CV to logan.kelly@peglobal.co.uk