Contributing to model validation and testing activities.
Preparing data sets in readiness for validation activities.
Support the Model Validation team as required.
Contribute to management, regulatory, and external confidence in all models used across the group.
requirements-expected :
Knowledge in one or more of the following areas: Stress Testing and Scenario Analysis models, Traded Risk and Pricing Models, Global Markets Trading & Hedging models, Asset Liability Models, etc.
Knowledge of statistical model and scorecard development techniques.
Knowledge of Risk models, performance metrics and risks and associated issues.
Some knowledge of internal procedures and local regulations and those of other country regulators would be an advantage.
Experience with some statistical modelling software / programming language e.g. SAS, Python, R, Matlab, C++, VBA.
Experience of developing and reviewing models throughout the customer lifecycle.
Experience of conducting independent model reviews is beneficial.
Master’s or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering.
offered :
Steep learning curve in the Model Risk.
Management team of one of the most complex banks in the world.
Hands on experience with real models in a real bank.
Top level coaching and mentoring.
Networking with highly accomplished professionals.
Understanding the HSBC Culture.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
