Senior Optimization Engineer

• Lead the design, implementation, and deployment of advanced mathematical optimization models to maximize efficiency and revenue across multiple energy markets.

• Drive architectural and technical decisions for optimization systems, ensuring robustness, scalability, and maintainability.

• Write, review, and maintain production-grade Python code, embedding optimization at the core while setting a high standard of engineering excellence.

• Design effective test strategies to validate optimization models ensuring reliability and performance under diverse market conditions.

• Proactively identify opportunities to improve model design, optimization approaches, and integration with other trading systems.

• Stay ahead of emerging trends in mathematical optimization, contributing innovative ideas and translating them into Flower’s roadmap.

• Mentor data scientists & engineers and provide thought leadership within the Asset Optimization domain and fostering a culture of technical excellence.

• Master’s or PhD in Operations Research, Computer Science, Industrial Engineering, Applied Mathematics, Engineering Physics, or a related quantitative field.

• 5+ years of professional experience developing and deploying production-grade optimization models in commercial or research settings.

• Proven expertise in applying advanced MILP optimization techniques to balance expressiveness of the formulation, robustness and model complexity

• Solid theoretical foundation and ability to translate mathematical concepts into practical, high-performance optimization systems.

• Strong proficiency in Python and experience developing production-quality optimization code within complex systems.

• Experience developing test methodologies for optimization solutions.

• Skilled communicator, able to present technical concepts with clarity to both technical and non-technical stakeholders, and influence decision-making.

• Hands-on experience with mathematical modeling libraries (e.g., Pyomo, SciPy, OR-Tools) and solvers (e.g., Gurobi, HiGHS, SCIP, CPLEX, GLPK).

• Bonus: prior exposure to energy markets, trading systems, or real-time optimization environments.

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.

Our corporate language is English, as we have about 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 Predictions and Optimization, VP of Engineering and our CEO. 

We look forward to hearing from you!

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