Senior Quantitative Analyst – Energy Trading

Our client is a fast-growing, international energy company with a strong footprint across Central Europe, now rapidly expanding and successfully entering new markets. With a clear growth agenda and bold ambitions, the company is redefining how energy is originated, structured, and traded across European wholesale markets. Driven by investments in advanced quantitative analytics and modern energy solutions, the business is scaling its data-driven decision-making capabilities to optimize trading strategies and navigate complex market dynamics. As a Senior Quantitative Analyst , you will design, build, and deploy advanced predictive models and complex algorithms to drive edge in energy trading, forecasting, and resource optimization. Based in Ljubljana , this is a high-impact, research-driven role designed for an applied scientist or quantitative practitioner. Your Impact Develop Advanced Predictive Models: Build, refine, and deploy robust ML, time-series, and probabilistic models tailored specifically to volatile energy market dynamics. Lead Feature Engineering & Data Architecture: Evaluate diverse data sources, execute end-to-end feature engineering, and design optimal pipelines for predictive modeling. Drive Algorithmic Innovation: Research and implement cutting-edge statistical methods and machine learning algorithms for forecasting, risk assessment, and trading optimization. Automate Analytics: Digitalize and streamline complex analytical workflows to provide real-time decision support for trading and origination functions. Shape AI Strategy: Collaborate closely with commercial and executive leaders to help define and build the company's future analytics and quantitative AI roadmap. What You Bring Relevant Track Record:  4+ years of hands-on experience in Data Science, Machine Learning, Quantitative Analysis, or Applied Research (a Postdoctoral research background in Mathematics, Statistics, Physics, Computer Science, or Operations Research is highly valued). Deep Theoretical & Applied Foundation: Exceptional expertise in probability, statistics, optimization methods, and machine learning (time-series, ensemble methods, probabilistic modeling, deep learning). Solid Tech Stack: Strong proficiency in Python, version control (Git), SQL, and handling large-scale, complex datasets. Targeted Focus: Applied mindset focused on predictive modeling, optimization, and time-series data. Research Mindset & Autonomy: Proven ability to independently bridge the entire gap from complex mathematical problems and raw data to commercial-grade solutions. Language & Communication: High fluency in English; strong communication skills with the ability to articulate complex quantitative concepts clearly. Why This Opportunity High-Impact Research Role: Autonomy to solve complex mathematical and quantitative challenges with direct commercial application. Frontier Environment: Directly shape the quantitative strategy of a fast-growing player…