Quantitative Developer

The ideal candidate for the Quant Developer role will combine an understanding of energy market fundamentals with stateoftheart algorithm building and optimisation techniques. They will be required to take on complex challenges with a sense of urgency and enthusiasm developing and communicating insights in a clear and succinct way. Furthermore the candidate should be adaptable and curious with the ability to be versatile in technologies and approaches used and a strong willingness to learn and develop.

Key Responsibilities

• Design and build short and longterm energy models inline with best software engineering practices
  
• Manage test and deploy both bug fixes and updates to existing models validating and tracking development tasks in Jira and GitLab
  
• Work with analysts to gather requirements design tests and scope new projects
  
• Create and update technical documentation
  
• Explore and clean datasets required for modelling purposes with a focus on optimising data pipelines
  
• Identify streamline and optimise inefficient processes
  
• Prepare and deliver presentations and visual materials that effectively communicate software design decisions and model logic to nontechnical stakeholders
  

Skills Knowledge and Expertise

• A good first degree or higher degree in a highly numerate subject is essential
  
• Minimum 2 years experience in Python development including scientific computing and data science libraries (NumPy pandas SciPy PySpark)
  
• Solid understanding of objectoriented software engineering design principles for usability maintainability and extensibility
  
• Experience working with Git in a versioncontrolled environment
  
• Good knowledge of parallel computing techniques (Python multiprocessing Apache Spark) and performance profiling and optimisation
  
• Good understanding of data structures and algorithms
  
• An enthusiastic problemsolving mindset with a desire to solve technical problems and model/forecast intricate reallife systems
  
• The ability to communicate complex technical concepts to those with little or no technical background in a meaningful relevant and engaging manner
  
• Experience with cloud platforms desirable (Azure AWS or GCP)
  
• Experience working with Machine Learning libraries (scikitlearn PyTorch) and statistical techniques is desirable
  
• Knowledge of the electricity market is desirable