Knowledge of Trading terminology andconcepts (inc. option valuation), ideally gained from experience working in atrading environment Technical knowledge
• Practical experience with Python scientific stack (Pandas, numpy, scipy,stats, etc.)
• Modern Python and ecosystem, such as asyncio, FastApi etc.
• Application release, testing and packaging: Docker, Helm, conda, pypi,pytest.
• Substantial expertise in Cloud services, ideally Azure (Azure Functions,Service Bus, AKS, Azure Machine Learning, Databricks.)
• Good understanding of CI/CD and Test Automation, Git,ADO/Jenkins/Github.Personal dimensions
• Proven record of technical delivery
• Able to work in a fast-paced front office environment and communicatedirectly with analysts and traders
• Good relationship with business stakeholders and IT colleagues.
• Aptitude to provide technical guidance and coaching to users / customers.
• Aptitude to articulate business needs into IT projects.
• Be able to apply an analytical thought process and ability to process complexinformation. Desired
• Experience in Energy trading, or financial services environment or comparabledomains
• Big data platforms, Spark, Kubernetes, Azure
• Experience working in a large enterprise
• Practical experience with MLOps and model lifecycle management, in platformssuch as Databricks and Azure Machine Learning, with MLFlow
• C#.Net
• SQL, data engineering experience