Global Risk Analytics (GRA) is a global team responsible for development of risk models for broad classes of financial and operational risks at HSBC. We are tasked with setting standards and providing mission-critical, cutting-edge tools to help identify, measure and manage risk, as well as enhance an enterprise-wide compliance across HSBC.
This role is responsible for working with Traded Risk Financial Engineering team. The role will consist of robust development and maintenance of quantitative library which includes risk models and methodologies that are under remit of the GRA Traded, Treasury and Operational (TTOP) Risk Analytics team.
The role is a senior role in Kraków-based team.
responsibilities :
Transform code from quantitative teams into production ready services.
Design and develop quantitative library in Python.
Closely collaborate with GRA Quant Analysts, IT and Front Office to create synergies across different functions and departments.
requirements-expected :
A few years of experience in enterprise development in Python or C++/C, Java, C# etc.
At least intermediate knowledge of Python 3.
Understanding of software architectural patterns.
Knowledge of application development lifecycle.
Familiarity with agile practices.
Knowledge of code optimization techniques.
Deep understanding of algorithms and data structures.
Fluent English (both written and spoken).
Ability and flexibility to work in international team.
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 parties & events
CSR initiatives
Nursery discounts
Financial support with trainings and education
Social fund
Flexible working hours
Free parking
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
