Tokyo | Full-time | Hybrid
Industry:
Energy Trading / Power & Utilities / Commodity Trading
Main Responsibilities
Improve optimization logic within power price forecasting and generation dispatch models
Develop and refine algorithms using LP and MIP methods
Implement optimization models using solvers such as Gurobi or equivalent
Collaborate with quantitative analysts, model developers, and planning teams
Validate model performance and improve solver reliability
Maintain clear technical documentation
Requirements
Background in Operations Research, Applied Mathematics, Energy Systems, Electrical Engineering, or similar
Strong knowledge of mathematical optimization (LP/MIP)
Experience with optimization solvers (Gurobi or equivalent)
Strong Python programming skills
Strong analytical and problem-solving ability
Experience working in collaborative technical environments
Japanese and English communication skills
Good to Have
Knowledge of stochastic or robust optimization
Understanding of power markets or energy trading
Experience applying optimization in energy systems or forecasting
Experience with Linux, Git, SQL/NoSQL, or cloud environments
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