Quantitative Analyst Trading Strategies, Gas & Power

What you will do

Research, develop, and maintain quantitative models for valuation, portfolio optimization, and risk management across gas and power markets. Apply advanced statistical, econometric, and quantitative techniques to identify market opportunities and support trading in their daily business. Partner closely with traders to identify, evaluate, and implement trading and hedging strategies that capture market opportunities and optimize portfolio performance. Analyze physical and financial optionality across gas, power, and related commodity markets, translating quantitative insights into commercially actionable recommendations. Develop, validate, and maintain valuation models used to assess assets, structured transactions, trading opportunities, and complex commercial exposures. Conduct statistical analysis, forecasting, scenario analysis, and back-testing to evaluate trading strategies and improve predictive performance. Build and maintain analytical tools, dashboards, and quantitative infrastructure that improve trading efficiency, market understanding, and decision support. Support asset valuation and commercial analysis initiatives through quantitative modeling, opportunity assessment, and risk evaluation. Provide quantitative expertise on derivatives, structured products, portfolio optimization techniques, and risk management approaches. Collaborate with technology and data teams to develop scalable production-ready quantitative solutions and analytics platforms. Remain current on developments in quantitative finance, machine learning, data science, and commodity market analytics to continually enhance analytical capabilities. Communicate complex analytical findings, strategy performance, and model outputs to traders and commercial stakeholders in a clear and concise manner. Contribute to the development of quantitative best practices, analytical methodologies, and model governance standards across the organization. What you bring Master's or PhD degree in Finance, Economics, Statistics, Computer Science, Mathematics, Engineering, Physics, Operations Research, or a related quantitative discipline. 5+ years of experience in energy trading, commodity trading, investment banking, hedge funds, asset management, or related quantitative trading environments. Strong quantitative and analytical problem-solving skills with the ability to develop practical solutions to complex commercial and trading challenges. Experience developing quantitative models supporting trading strategy development, portfolio optimization, valuation, and risk management. Strong understanding of gas and power markets, market fundamentals, trading strategies, and risk management concepts. Knowledge of derivatives pricing, option theory, stochastic processes, statistical modeling, and quantitative finance methodologies. Experience with econometric techniques, time-series analysis, forecasting, and machine learning applications within trading environments. Proficiency in Python and experience with quantitative analytics libraries such as Pandas, NumPy, SciPy, StatsModels, and Scikit-learn. Experience working with large and complex datasets to identify market opportunities and generate actionable business insights. Understanding of Monte Carlo simulation, optimization techniques, dynamic programming, and advanced statistical methods. Knowledge of portfolio analytics, market risk concepts, performance measurement, and quantitative strategy evaluation. Ability to communicate technical concepts effectively to both quantitative and non-quantitative stakeholders. Demonstrated ability to work collaboratively in a fast-paced front-office environment while managing multiple priorities. Preferred