Your responsibilities

Design, 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 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 Engineering 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.

Our requirements

Vast experience in designing and building large scale backend applications and systems in Python for local and cloud environments – also from scratch – with strong focus on development of new Python libraries, design and implementation of APIs and providing integration with other systems (databases, storage, frontends etc).
Experience in building containerised solutions and CI/CD pipelines for end2end automations on cloud-based platforms (GCP, Docker), preferably utilizing Jenkins and Github integration is considered a plus.
5+ years of relatable experience.
Expert knowledge of at least three of: Python, FastAPI, Apache Airflow, S3, Kubernetes, Jenkins, Docker
Experience in writing and reviewing technical documentation and leading test-driven development
Knowledge of finance, particularly quantitative finance, experience of Risk or Analytics is nice to have.