GSC: AVP, FE GRA

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The role has been created primarily to provide high-quality programming bandwidth into Financial Engineering unit within Global Risk Analytics (GRA).

The AVP Financial Engineering will contribute to all aspects of programming work—within potentially several prototyping teams—in the construction and testing of analytic platforms.

The role requires a high degree of flexibility as projects will require the Model developer to alternate rapidly between two very different operating modes:

a. rapid prototyping in the construction of proof‑of‑concept platforms.

b. development of polished software platforms for use in the business.

• The role will be instrumental in the accelerated development of prototypes that could materially influence the process of risk analysis and risk measurement at HSBC.
• The creation of the role coincides with the establishment of a dedicated research and development (R&D) unit called Financial Engineering.
• The new platforms and methods created by this unit will (1) substantially improve the consistency of risk model development across HSBC; (2) streamline the operational profile of model development projects (reducing costs and time); (3) reduce the risk of project failure; and (4) dramatically improve the model deployment process.
• The unit will provide a reference point for the exploration of advanced methods for other teams in GRA.
• The unit will foster innovation in risk measurement and prototype modern processes of model development.
• The development of this role, and R&D unit, will position HSBC as a leading research house for the modernisation of risk analytics within the banking sector.
• Collaborate with other developers, data analysts and modellers across other project streams.
• Actively contribute to creating an open, collaborative problem‑solving environment that is critical to rapid prototyping environment.

• Senior experience in building, and testing applications in a professional environment in Python.
• Some experience programming in a mathematical or engineering technical environment (such as MATLAB)
• Knowledge of the more common design patterns.
• Strong knowledge of testing principles.
• Some experience developing in an Agile environment with preferably some experience with continuous integration practices.
• Familiarity with algorithms for capturing and processing large datasets (i.e. Map/Reduce).

• Substantive and consistent experience developing applications using a programming language (e.g. Java, C++, C#, Python or Go).
• Experience working with Docker, Kubernetes and Jenkins
• MSc or PhD in a technical field such as Computer Science, Mathematics, Physics, Operational Research and/or Information Systems (Informatics).

• Annual performance‑based bonus
• Additional bonuses for recognition awards
• One‑time reimbursement of home office set‑up (up to 800 PLN).
• Nursery discounts
• Financial support with trainings and education
• Flexible working hours

• Online behavioural test (for external candidates only)
• Telephone screen (for external candidates only)
• Zoom interview with the hiring manager

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