This position will be instrumental in the accelerated development of prototypes that could materially influence the process of risk analysis and risk measurement at HSBC.
The main task of this role is to provide high-quality programming bandwidth into Strategic Analytics unit within Global Risk Analytics (GRA). The VP of 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.
responsibilities :
Drive development of an integrated platform for building and executing Risk models underlying majority of Banks decisions.
Provide a reference point for the exploration of advanced methods for other teams within risk area.
Foster innovation in risk measurement and prototype modern processes of model development.
Manage team of highly specialized analysts and developers.
Maintain good relationships with Stakeholders, ensuring mutual understanding of priorities and proper communication of results.
requirements-expected :
MSc or PhD in a technical field such as Computer Science, Mathematics, Physics, Operational Research and/or Information Systems (Informatics).
Demonstrated 9 years of experience building, and testing applications in a professional environment.
Substantive and consistent experience developing applications using an object-oriented programming language (e.g. Python, Java, C++ or C#).
Some experience programming in a mathematical or engineering technical environment (such as MATLAB) and 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), and some knowledge of machine learning and pattern recognition techniques.
Experience working with non-traditional database architectures (such as column free / NoSQL / graph-theoretic structures).
offered :
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 events
CSR initiatives
Nursery and kindergarten discounts
Language classes
Financial support with trainings and education
Social fund
Flexible working hours
Free parking (Cracow office)
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
