Sales and energy trading

Join us in this role where you’ll be part of a team with several quantitative developers responsible for developing, managing and operating our calculational framework. The framework includes, Monte Carlo based calculation engines written in Modern C++, GUI interfaces in C#, Python integration, full- stack web applications, PostgreSQL databases, and Linux containers on Kubernetes. You’ll have opportunities to influence, drive and learn about anything and everything in a modern open-source Linux environment with a little Windows on top.

Welcome to Quantitative Analysis
You’ll be part of Trading and Revenue where you, together with your colleagues, will drive optimization, valuation and decision support for our power and gas portfolio. You’ll be part of a highly skilled and engaged team that enjoys a fun and challenging working environment with plenty of opportunities to work with many stakeholders across the organization.

You’ll play an important role in:

• setting up, maintaining, and operating the framework for optimizing our portfolio, owning the full development cycle from design to deployment
• continuously developing and renewing our models to ensure alignment with market conditions
• enabling the team to deliver high-quality quantitative analyses
• translating mathematics into operational decision taking
• setting standards to improve our code quality and shape the way we deploy solutions to production
• ensuring operational excellence of the power and gas portfolio.

To succeed in the role, you:

• have a degree within computer science, engineering, data science, mathematics, statistics, physics, or other quantitative-focused disciplines
• have a proven track record of building and maintaining reliable CI/CD pipelines which includes C++ projects and deployment to Kubernetes
• are a team player with strong technical skills, motivated by understanding the business and transforming requirements into it-solutions with a variety of stakeholders in an international, English-speaking environment
• hands-on software engineering experience, ideally with Modern C++ and containerized deployments on Linux
• have an interest in financial markets and mathematical models such as Monte Carlo Simulations, stochastic optimization, option pricing or linear programming
• adapt well to change and are constantly looking to challenge the norms to do things better.

Maybe you’ve read the above and can see you have some transferable skills, even though they don’t quite match all the points. If you think you can bring something to the team, we still encourage you to apply.

Shape the future with us
Send your application to us as soon as possible. We’ll be conducting interviews on a continuous basis and reserve the right to take down the advert when we’ve found the right candidate.

As an applicant or employee, you may request reasonable work and position accommodation or adjustments via accommodation@orsted.com.

Please note that for your application to be taken into consideration, you must submit your application via our online career pages and answer the screening questions relevant for your country. We don't take applications or inquiries from external recruiters or agencies into account for this position.