Senior Quantitative Developer

Gentofte, DK

Ørsted

We are a renewable energy company working to create a world that runs entirely on green energy through renewable solutions including wind and solar.

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Join us in this role where you’ll be part of a team of quantitative developers responsible for developing, managing, and operating our calculational framework. This framework includes Monte Carlo based calculation engines written in Modern C++ with a custom programming language as interface, GUI interfaces in C#, various tools in Python, full-stack web-applications, PostgreSQL databases, and Linux servers. You’ll have plenty of opportunities to influence, drive, and learn about everything in a modern open-source Linux environment with a touch of Windows.

 

Welcome to Quantitative Analytics
You’ll be part of Trading and Revenue where you, together with your colleagues, will drive optimisation, valuation, and decision support for power and gas, including natural gas, biogas, and hydrogen in the future energy system. As a team, you’ll be part of a highly skilled and engaged team that enjoys a fun and challenging working environment, and work with many stakeholders across the organisation.

 

You’ll play an important role in:

  • setting up, maintaining, and operating the models and tools used for optimising our Power and Gas Portfolio
  • being responsible for continuously developing and renewing tools and models to ensure alignment with market conditions
  • delivering high-quality quantitative analyses and translating mathematics into operational decisions
  • 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 completed a degree within computer science, engineering, data science, mathematics, statistics, physics, or another quantitative-focused discipline
  • are a team player with strong technical skills, motivated by understanding the business and transforming requirements into IT-solutions with various stakeholders in an international, English-speaking environment
  • have experience working with Modern C++, Python, Docker, and Kubernetes
  • have a passion for and experience with mathematical modelling as it relates to finance, such as Monte Carlo Simulations, stochastic optimisation, option pricing, or linear programming
  • adapt well to change and constantly look to challenge norms to do things better
  • are interested in working with custom programming languages and shaping their future development and use.

 

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.

 

Join a global leader in renewable energy
Ørsted is a growing green energy major and global leader in climate action. With us you’ll play a part in driving change towards a green energy future. You’ll grow your talent in a fast-paced and high-growth industry where you have plenty of opportunities to learn and develop through challenging assignments and industry-leading experts. Here, you can perform in a friendly work environment based on trust, respect, and collaboration.

 

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 accomodation@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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Computer Science Docker Engineering Finance Kubernetes Linux Mathematics Monte Carlo Open Source Physics PostgreSQL Python Statistics

Perks/benefits: Career development

Region: Europe
Country: Denmark

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