Data Analysis jobs in United States

As an Intraday Power Quant Trader at SEFE, you will sit at the intersection of quantitative modelling and real-time trading, developing, executing, and optimizing trading strategies across the European intraday power markets. You will work hand-in-hand with fundamental intraday traders, combining quantitative techniques with fundamental market insights to identify and capture trading opportunities, optimizing both price and volume execution. You will also oversee the optimisation of SEFE power asset fleets across Europe.

As an Intraday Power Quant Trader you will develop and deploy data-driven trading strategies in European short-term power markets, leveraging both systematic models and discretionary insights from fundamental traders. You will also collaborate continuously with discretionary power traders to interpret market conditions, align on trading themes, and integrate real-time intelligence into quantitative models.

• Design and maintain forecasting and pricing models (short-term fundamentals, flow-based dispatch, asset behaviour, etc.) to support intraday trading decisions.
• Build, automate, and optimize execution algorithms to maximize trading efficiency and P&L.
• Develop and maintain robust analytics tools to enhance market visibility, trade idea generation, and post-trade analysis. Analyse, back-test, and refine strategies using historical and real-time market data.
• Contribute to the optimization of SEFE’s power asset fleet, leveraging both operational constraints and market arbitrage opportunities to create value to our customers.
• Partner with operations and technology teams to continuously enhance infrastructure, data pipelines, and strategy deployment capabilities.
• Monitor and interpret European power market news, regulatory updates, and infrastructure developments, translating these into actionable quantitative insights.

You will have a strong background in quantitative analysis, trading strategy development, or algorithmic execution, ideally in power, commodities, or short-term markets. Excellent understanding of the European power market fundamentals, including generation, transmission, balancing mechanisms, and market rules is essential. You will also have:

• Proven ability to design, code, and implement trading algorithms, with expertise in Python, C++ and other performant languages a plus.
• Familiarity with Stack, Delta models, load forecasting, or other power-specific models is highly advantageous.
• Strong analytical mindset with the ability to blend structured quantitative approaches with real-time discretionary trading inputs.
• Experience with backtesting frameworks and statistical model validation techniques.
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• Degree in a technical field (e.g., Mathematics, Physics, Engineering, Computer Science, Quantitative Finance) or equivalent practical experience.