Job Description

Responsibilities:

  • Contribute to the development of front office software tools that support real-time trading, market data analytics, and visualization.

  • Work with the commercial trading team to optimize and re-engineer pricing models, decision tools, and trading workflows.

  • Build and enhance Python-based microservices and APIs for internal data access and operations automation.

  • Assist in building data visualization dashboards using libraries such as Streamlit, integrating commercial KPIs, price curves, and supply/demand analytics.

  • Participate in cloud-native application development using AWS services, including Kubernetes  and Kafka.

  • Support automation of deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines).

  • Collaborate with the Data Science team to help integrate ML-driven analytics into front office workflows.

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