Senior Quantitative Risk Analyst (m/f/d) - Renewable Energy

Company Description

Statkraft has been making clean energy possible for over a century. Unrivaled pioneering spirit and a strong commitment towards a more sustainable future. That’s what we offer. Today, we are Europe’s largest renewable energy producer and employ more than 7.000 colleagues in 20+ countries around the world. Our vision is clear - to renew the way the world is powered. But there is more work to be done and that is why we need you to help us! 

Why join us

We promise, that here with us, you will build a better way. You will take ownership for projects, you will collaborate across boundaries, you will embrace new skills, guide and be surrounded by some of the smartest people in the industry. Together we lead the energy transition to ensure a more sustainable future for our customers, society and future generations. Together, let’s renew the way the world is powered by building a better way.

Job Description

As a Senior Quantitative Risk Analyst (m/f/d), you will deliver high-quality risk modelling solutions to the Risk department and ensure that our risk measurement is aligned with Statkraft’s Market Operation's needs, as well as changes in the energy markets. You will: 

• Lead the development of risk and valuation models for physical and financial energy assets, options trading, and non-standard long-term contracts such as PPAs or BESS contracts 
• Calibrate stochastic price simulation models and be at the forefront of combining fundamental analysis with quantitative risk modelling 
• Provide guidance and drive best practices in quantitative risk modelling and analytics to deliver robust risk tools 
• Collaborate closely with stakeholders in the Risk department and Front Office teams 
• Actively support the conversion of model prototypes into usable daily risk tools through close collaboration with IT

Qualifications

We look for a Senior Quantitative Risk Analyst (m/f/d) with the skills required to strengthen our quantitative risk modelling capabilities for Market Operations. That includes: 

• Master’s degree in a quantitative field such as mathematics, economics, physics, or engineering 
• Several years of experience in quantitative modelling of commodity markets, with a focus on valuation, risk modelling, stochastic processes, and/or fundamental models 
• Strong programming skills in Python or a comparable language
• A highly structured and solution-oriented work approach 
• A proactive team player with strong integrity and the ability to communicate complex topics clearly across the organization 
• Fluency in English, both written and spoken

Additional Information

At Statkraft, you’ll shape a career that is truly forward-facing with many amazing opportunities and offerings to match. This includes (non-exclusive): 

• Unlimited learning opportunities at various levels of the organisation
• The chance to grow your career alongside a truly global network of experts, leaders, specialists and graduates from different countries and backgrounds.
• The opportunity to work somewhere with pride, and to be able to honestly say “My work is contributing to saving the planet”.
• A work culture that puts emphasis on the individual, offering flexible working solutions, and work life balance principles.

Our vision is to renew the way the world is powered. To navigate the complex journey ahead, we need every voice at the table. We therefore work actively to be a diverse and inclusive workplace and welcome all applicants regardless of background, gender, age, sexual orientation, religious belief, ethnicity, nationality or disability. 

Statkraft offers competitive terms of employment and benefits schemes, and we’re a trusted employer that puts the safety of our people first. We believe that a safe and healthy working environment is a matter of choice, not chance.

Statkraft manages critical infrastructure and services in several countries. We conduct background checks on qualified applicants before hire. This may include a conflicts of interest statement from candidates.