About the project

• Global Finance aspires to be the best finance function in the financial services industry, delivering powerful insights to our customers, within the bank and externally. We work as a seamless team to support HSBC’s businesses to deliver our strategy. This role is focused on building new, future-proof modelling solutions.

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.

Our requirements

• 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.

Technologies we use

What we offer

• Competitive salary

• Annual performance-based bonus

• Additional bonuses for recognition awards

• Multisport card

• Private medical care

• Life insurance

• One-time reimbursement of home office set-up (up to 800 PLN)

• Corporate parties & events

• CSR initiatives

• Nursery discounts

• Financial support with trainings and education

• Social fund

• Flexible working hours

• Free parking