Energy Markets Analyst (gn) in Renewable Energies

What do we rely on at ENCAVIS? The sun. The wind. And on you.

Welcome to the world of Encavis! At Encavis, everything revolves around the power of the sun, the wind and the more than 200 people who together are helping to shape the energy system of the future. What exactly do we do? We make renewable energy economically viable. Our core business is the acquisition and operation of solar and wind parks throughout Europe. Already today, we are one of the leading group-independent electricity producers in the field of renewable energies. And we are continuing to grow. What does that mean for you? The opportunity to move, shape and change a lot. As part of a multinational team that enjoys helping the energy transition to succeed.

There are many reasons why you should join Encavis - but your expertise and experience speak for themselves! What can you expect from us? You will quickly take on a key role in supporting the development of Energy Portfolio Management at Encavis AG.

Reporting

1. Building a position reporting system and revenue tracking
2. Further developing existing software projects in collaboration with development partners and the IT team to optimally digitize portfolio management

Hedging strategy

1. Actively participating in the development of new hedging strategies by running stochastic models or backtestings
2. Tracking of short-term hedging strategies
3. Continuously following price developments and fundamental drivers of the energy markets

Risk assessments

1. Quantifying market-, portfolio and delivery structure risks and their impact for PPA structures
2. Develop PPA pricing models
3. Quantifying the impact and economic advantes of other financial hedging instruments, such as options and battery tollings

1. Academic degree in natural sciences, economics, statistics or equivalent
2. Passionate about the energy transition and renewables and ideally already >1 year of work experience (practical experience in Origination/Trading/Risk Management departments is a plus)
3. Confident in extracting and manipulating data from various sources, including APIs, CSV files, and databases, with a strong knowledge of SQL, R, and Python. Proficient in data visualization using Power BI and packages such as ggplot2, plotly, matplotlib, and seaborn. An excellent knowledge of Excel, including Power Query, is a plus
4. Experience in hands on reporting of renewables revenues/controlling
5. Experience in statistical analysis and application of stochastic and fundamental models to derive conclusions on risk/return metrics. In particular, know-how in the areas of meteorological and/or commodity market data is an advantage
6. Experience in pricing modelling in financial/energy markets
7. You are a team player and enjoy working independently, diligently, and responsibly
8. Good communication skills in German and English complete your profile

1. Employee Assistance Program: Individual counselling and coaching by the Fürstenberg Institute
2. Health & well-being: Health platform machtfit (including health budget), health weeks, free drinks and fruits
3. Professional & personal development: Comprehensive onboarding, individual training opportunities, language courses, development programmes
4. Culture & Cooperation: Small and large corporate and team events, Giving Back Week, Sustainability Working Group
5. Lunch offer: Subsidised meals in the office
6. Employee Bonuses: Finder's Fee for new colleagues
7. Mobility: Takeover of the Deutschlandticket and subsidised JobRad
8. Employee Discount: Use of Corporate Benefits
9. Office room for animals: Possibility to bring a pet to a specially reserved office if the care of a pet cannot be guaranteed
10. Great Location: Office space next to the river Elbe, easily accessible by bus and train
11. Provision & insurance: Employer subsidy for company pension scheme and occupational disability insurance, group accident insurance free of charge, subsidy for computer glasses
12. Work-Life-Balance: Flexible working & mobile office (up to 50%), 30 days holiday (+1 day each for Christmas and New Year's Eve)