Your mission As a Quantitative Trader at FlexPower, you will play a key role in shaping the future of short-term power trading. If you have a passion for mathematics, programming, and energy markets, we want to hear from you! You will work in a dynamic, fast-paced environment where you model, analyze, and forecast to optimize trading strategies.Your work will involve developing quantitative models, analyzing time series data, and applying advanced statistical and machine learning techniques to extract insights from market movements. You will collaborate closely with a jolly bunch of traders, engineers, and quantitative researchers to ensure that our strategies remain at the forefront of European energy markets.We expect you to work regularly in our Hamburg office, with hybrid work options. This is an opportunity for problem solvers who thrive on analytical challenges and who want to make a real impact in the energy sector. Your profile You enjoy<ul><li>Develop and implement statistical and machine-learning models</li><li>Analyze large datasets to uncover patterns, inefficiencies, and opportunities</li><li>Work under pressure and adapt to rapidly changing environment</li><li>Collaborate with fellow traders, engineers, and researchers to drive trading performance</li></ul>You are confident in your ability to <ul><li>Master complex mathematical concepts, including Linear Algebra, Calculus, and Optimization.</li><li>Apply advanced statistical methods, from Probability Theory and Stochastic Processes to Statistical Inference, Time Series Analysis, and cutting-edge techniques like Machine Learning, Deep Learning, and Gradient Boosting.</li><li>Develop robust software solutions in Python (with additional experience in R and C++ being a plus)</li><li>Navigate Agile workflows seamlessly, leveraging Version Control and CI/CD pipelines for efficient code deployment.</li><li>(Optional) Understand the intricacies of short-term power trading in Europe, optimizing strategies in energy markets.</li><li>(Optional) Analyze market microstructure through public Orderbook Updates and Trades.</li><li>Leverage past experience working with time series data in a business setting, applying quantitative methodologies to extract valuable insights.</li></ul> Why us? Build the industry standard for Accounting and Controlling in Energy<ul><li>Understand European energy markets in depth</li><li>Make high-stakes trading decisions based on real-time market data</li><li>Develop execution strategies that balance risk and reward in a volatile market</li><li>Carry responsibility for executing and managing trading strategies</li></ul>Understand European energy markets and the energy transitionFor this role we are especially looking for a person who brings structure to a dynamic environment. Your attention to detail will be highly appreciated. We are looking forward to your application and are happy to answer any questions you may have about the position in question.

We believe that traders provide an important and valuable service to energy markets. We do constant and fast-paced analysis on the current state of the electricity grid and provide all actors crucial information through price signals. We act as intermediaries and decision makers who take risks that other actors would like to avoid. We take on this responsibility with decisive caution. We reduce shortages and oversupply by looking ahead. We need volatility to act, however we reduce volatility overall. In order to trade successfully we need fair and open markets. In order to trade fairly with the market we believe in sharing information, failures and victories and yes: the occassional trash talk.

Quantitative Trader (Senior)

Your mission As a Quantitative Trader at FlexPower, you will play a key role in shaping the future of short-term power trading. If you have a passion for mathematics, programming, and energy markets, we want to hear from you! You will work in a dynamic, fast-paced environment where you model, analyze, and forecast to optimize trading strategies.Your work will involve developing quantitative models, analyzing time series data, and applying advanced statistical and machine learning techniques to extract insights from market movements. You will collaborate closely with a jolly bunch of traders, engineers, and quantitative researchers to ensure that our strategies remain at the forefront of European energy markets.We expect you to work regularly in our Hamburg office, with hybrid work options. This is an opportunity for problem solvers who thrive on analytical challenges and who want to make a real impact in the energy sector. Your profile You enjoy<ul><li>Develop and implement statistical and machine-learning models</li><li>Analyze large datasets to uncover patterns, inefficiencies, and opportunities</li><li>Work under pressure and adapt to rapidly changing environment</li><li>Collaborate with fellow traders, engineers, and researchers to drive trading performance</li></ul>You are confident in your ability to&nbsp;<ul><li>Master complex mathematical concepts, including Linear Algebra, Calculus, and Optimization.</li><li>Apply advanced statistical methods, from Probability Theory and Stochastic Processes to Statistical Inference, Time Series Analysis, and cutting-edge techniques like Machine Learning, Deep Learning, and Gradient Boosting.</li><li>Develop robust software solutions in Python (with additional experience in R and C++ being a plus)</li><li>Navigate Agile workflows seamlessly, leveraging Version Control and CI/CD pipelines for efficient code deployment.</li><li>(Optional) Understand the intricacies of short-term power trading in Europe, optimizing strategies in energy markets.</li><li>(Optional) Analyze market microstructure through public Orderbook Updates and Trades.</li><li>Leverage past experience working with time series data in a business setting, applying quantitative methodologies to extract valuable insights.</li></ul> Why us? Build the industry standard for Accounting and Controlling in Energy<ul><li>Understand European energy markets in depth</li><li>Make high-stakes trading decisions based on real-time market data</li><li>Develop execution strategies that balance risk and reward in a volatile market</li><li>Carry responsibility for executing and managing trading strategies</li></ul>Understand European energy markets and the energy transitionFor this role we are especially looking for a person who brings structure to a dynamic environment. Your attention to detail will be highly appreciated. We are looking forward to your application and are happy to answer any questions you may have about the position in question.

Quantitative Trader (Senior)

About the Job

About the Company

CF Flex Power

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