The purpose of the Risk department in Market Operation is to secure high-quality risk evaluation and risk communication to enable Statkraft Trading & Origination and asset optimization business. Our responsibilities include P&L and risk reporting (market credit and liquidity risk), risk management support, development of risk models, risk methodologies, and risk framework. Statkraft has an ambitious growth strategy; having a strong risk team is a key enabler for its success.
Your work as a Quantitative Risk Developer
Providing risk modelling services to Statkraft's Risk department is at the core of this position. You work to ensure our risk models and measures are adapted to Statkraft's Market Operation needs and reliably reflect changes in the energy markets. Your expertise in advanced statistical modelling and quantitative analysis is critical to ensuring our risk assessments accurately reflect market dynamics and support strategic decision-making. In addition, you will work to keep our infrastructure modern with cloud-based solutions and integrated data management.
Key Responsibilities:
* Create, refine, and calibrate risk models for physical energy assets, option trading, and non-standard long-term renewable energy contracts;
* Apply advanced statistical techniques and quantitative methods to evaluate energy market price risk;
* Support the calibration of stochastic price models and assist in deploying fundamental-based price models;
* Research and implement novel risk modelling approaches, including both classical statistical methods and emerging deep learning techniques;
* Work closely with the Risk department, Front Offices, and IT teams to ensure the robustness of our models and effectively translate complex insights into actionable strategies;
* Contribute to the governance and robustness of our risk modelling tools and provide end-to-end support.
Qualifications:
* Master's degree in a quantitative field (e.g. mathematics, economics, physics, computer science, or engineering);
* At least 3 years of experience in data analysis and developing complex statistical models, ideally with exposure to risk management or quantitative finance;
* A solid understanding of financial risk management principles and financial instruments is an advantage;
* Proficient in Python and familiar with version control systems (e.g. Git and GitLab);
* Knowledge of cloud-based solutions (Azure Databricks) and data management (SQL warehouses) is a plus;
* Strong interest in the European energy markets and financial market concepts;
* Highly structured, solution-oriented, and able to communicate complex issues clearly;
* Fluent in English, both written and spoken;
Additional Information:
What we offer:
* Unlimited learning opportunities in different value streams and levels of the organization.
* Be part of a team with multiple ongoing R&D projects with external research communities.
* The chance to grow your career alongside a truly global network of experts, leaders, specialists, and graduates from different countries and backgrounds.
* Your work will be contributing to saving the planet.
* A work culture that puts emphasis on work-life balance.
* A focus on fun outside of work supported by various activity groups such as soccer, yoga, sailing, climbing, boxing, cabin rentals, and much more.
* Statkraft offers competitive terms of employment and benefits schemes, and we are 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. The applicant must be eligible for security clearance and authorization.
Statkraft's 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.
Location: The position will be located in our Oslo, Düsseldorf, or Amsterdam office.
Contact: For questions, please contact Herv Babusiaux, Head of Risk Framework & Risk Modelling.
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