Quantitative Analyst Modelling & Pricing in Renewable Energies

Quantitative Analyst Modelling & Pricing in Renewable Energies

Encavis

Hamburg, Germany

You will join a highly quantitative, forward-thinking Commercial team at the heart of the energy transition. In this role, you combine advanced modelling, data analytics and market expertise to shape hedging strategies, develop innovative energy products and support strategic decision-making at management level. You work on highly relevant topics such as renewable power commercialization, PPAs and portfolio risk management, while actively contributing to digitalization and automation. This position offers you the opportunity to make a real impact, grow your technical skills and help shape sustainable energy markets of the future.

Your sunny outlook:

YOUR MAIN FOCUS:

Pricing & Quantitative Modelling:

You apply high-resolution stochastic models to price energy products ranging from standard hedging instruments to structured derivatives such as PPAs, tolling agreements, swaps and options.

Hedging Strategies & Product Structuring:

You actively contribute to the development and implementation of innovative hedging strategies and support the structuring of tailored products for industrial offtakers.

Digitalization & Tool Development:

You further develop and build software solutions and analytical tools to automate pricing, hedging, risk assessments, reporting and performance monitoring in close collaboration with IT and external partners.

FURTHER RESPONSIBILITIES - TOGETHER WITH THE TEAM:

Risk Assessment & Portfolio Analytics:

You quantify market, shape and volume risks on deal, asset and portfolio level by combining market data analytics with meteorological modelling.

Management & Decision Support:

You prepare ad-hoc analyses for management and the board and guide decision-makers with well-founded interpretations of assumptions, models, risks and results.

We'll get wind of that soon:

Academic Background & Experience:

You have a university degree in natural sciences, economics, statistics or a comparable field, and ideally more than one year of experience in a quantitative role within origination, trading or risk management.

Quantitative & Analytical Expertise:

You have strong experience in statistical analysis and the application of stochastic models to evaluate risk/return profiles in energy or commodity markets.

Data & Programming Skills:

You are experienced in using AI tools as part of your analytical workflow - beyond coding assistance, you leverage them to create context-aware, agentic solutions that support automation, reproducibility and high-quality modelling. You confidently extract, manipulate and analyze data from APIs, databases and files, using Python, R and SQL, and visualize results and insights for decision making.

Energy Markets & Renewables Mindset:

You are passionate about the energy transition and bring a strong interest or know-how in renewable energy, power markets and, ideally, meteorology.

Structured & Independent Working Style:

You enjoy working independently, think analytically, act responsibly and contribute proactively as a reliable team player.

Communication Skills:

You communicate clearly and confidently in both German and English and are comfortable explaining complex quantitative topics to non-technical stakeholders.