Senior Quantitative Developer

2 weeks ago


Stockholm, Stockholm, Sweden Flower Full time 120,000 - 240,000 per year

What We Do
Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available – even when the sun isn't shining and the wind isn't blowing.

Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow.

Who We Are
Tech company at heart – purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world.

At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish.

To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Senior Quantitative Developer.

About The Role
As a Senior Quantitative Developer, you will play a pivotal role in shaping the future of the Wholesale squad within the Asset Optimization domain. Our mission is to master short-term energy-intensive markets, including Intraday Continuous.

This is not just another engineering role. You will join a small, highly talented team at a moment of expansion and help us build a robust trading system that can adapt to new opportunities, scale with the company's growth, and excel in an ever-changing energy landscape.

What You'll Do

  • Build the backbone of our trading system: Design, implement, and maintain scalable pipelines and resilient infrastructure for deploying, versioning, and backtesting trading algorithms in both auction-based and continuous markets.
  • Shape trading strategies: Partner closely with algorithmic traders, energy experts, and engineers to design and deploy execution and optimization algorithms that maximize profitability across multiple wholesale markets.
  • Strengthen data-driven trading: Collaborate with the Data Platform team to ensure robust ingestion and processing of signals, logs, and market data, supporting both fast intraday trading and strategic long-term insights.
  • Elevate engineering practices: Champion best practices in software engineering, infrastructure-as-code, and MLOps to accelerate iteration while ensuring system reliability, regulatory compliance, and operational excellence.
  • Mentor and grow the team: Share your expertise, guide less experienced colleagues, and contribute to building a culture of curiosity, speed, and technical rigor.

Who You Are

  • Seasoned expert: 5+ years of hands-on experience developing and deploying algorithmic trading models, or building the systems that host them, ideally across continuous and auction-based markets.
  • Engineering leader: Strong programming skills (Python preferred) and deep expertise in building robust MLOps and cloud-native solutions. You are fluent in IaC practices and tools (Terraform, CloudFormation) and experienced in designing scalable, fault-tolerant systems.
  • Quantitative architect: Experienced in setting up and maintaining backtesting environments, ensuring models are rigorously validated for both performance and risk.
  • Full-stack problem solver: Comfortable owning everything from infrastructure to strategy deployment, with the mindset that no problem is "out of scope" if it advances the team's mission.
  • Great communicator: Adept at explaining technical concepts to both technical peers and business stakeholders, helping align decisions across the organization.
  • Bonus points: Direct experience in energy trading, especially algorithmic execution in intraday continuous markets, or in developing strategies tailored to the dynamics of energy systems.

Location
Our beautiful office is located in the heart of Södermalm just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model.

Apply
Our corporate language is English, as we have over 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English.

Throughout the recruitment process you will meet with the People & Talent Partner, Head of Wholesale & Strategic Analytics, Data Engineers, VP of Engineering and VP of Product.

We look forward to hearing from you

We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.



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