Strong experience in backend development of large scale applications and systems in Python, especially for cloud environments, preferably including development of libraries and designing/extending of APIs.
Experience in building and maintaining containerised solutions and CI/CD pipelines for end2end automations on cloud-based platforms (GCP, Docker), preferably utilising Jenkins and Github integration is considered a plus.
3+ years of relatable experience.
Strong knowledge of at least three of: Python, FastAPI, Apache Airflow, S3, Kubernetes, Jenkins, Docker.
Experience in writing technical documentation and test-driven development.
Knowledge of finance, particularly quantitative finance, experience of Risk or Analytics is nice to have.
Your responsibilities
Build and implement Global Treasury Python-based modelling solutions.
Support building and implementation of Global Treasury containerised solutions and CI/CD automations.
Deliver a coding environment that is easy to use, is robust and can be fully re-used.
Provide automated solutions for fast and agile model build and deployment.
Work closely with tech leads, business stakeholders, Quantitative Analysts and IT to create synergies across different functions and departments and contribute to the end-to-end design and planning.
Implement software strategically, following best practice to ensure that solutions address the evolving business and regulatory requirements.
Work closely with the Head of Financial Engineer to ensure smooth change management and maintenance of the system in compliance with HSBC Group standards.
Work closely with the Quantitative Analytics teams to build software solutions that are practical, workable and comply with accounting, regulatory or other requirements.
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Published
26 days ago
Expires
in 19 days
Work mode
hybrid
Source
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