Building optimisation models that schedules our assets given the available markets
Develop algorithmic trading strategies to bring the above assets to the market
Work with our engineers to build this out into a robust production system and supporting data pipelines.

Experience modeling business ideas and problems as mathematical optimisation problems and running them in a production environment
Experience working with the Python language data and optimisation ecosystem
Experience working with data lakes and relational databases
Working knowledge of the energy markets domain
Experience building automatic trading algorithms
Data science experience (e.g. modeling and forecasting of time series data)
Backend engineering experience (e.g. writing code and tests, REST APIs, CI/CD pipelines, working with cloud providers like AWS, Kubernetes etc.)

Quantitative Engineer

Key skills