HAYS

Stanowisko:

Model Validation

Lokalizacja:

Kraków - remote

małopolskie

Opis stanowiska podany przez pracodawcę:

Model Validation
Kraków - remote
NR REF.: 1190147

It is an entry/junior level role. We will accept candidates who have theoretical knowledge of quantitative analysis and a degree in one of the following: a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering;

Your career opportunity

Independent Model Validation is a specialist quantitative role within the Model Risk Management team responsible for carrying out independent validations of company39s model landscape, to identify and communicate model limitations and issues.

Independent Model Validation provides independent challenge of a model’s underlying theoretical assumptions and limitations, its practical implementation, its live application, and business usage, providing stakeholders (including model users, senior management, audit and regulators) with assurance that models and tools developed, maintained and used within the group are fit for their intended purposes and are compliant with applicable internal and supervisory expectations. They will also review remediation plans and activities, undertake portfolio level reviews across model types and challenge the model owners on the appropriate application of relevant policy of models.

Your new role

Undertake model validation and testing activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model.
Provide written reports detailing the results of validations highlighting issues identified during the validation.
Communicate technical model related information and results to Model Owners and Model Users through the course of a validation.
Contribute to management, regulatory, and external confidence in all models used across the group

What you39ll need to succeed

Master’s or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering.
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

What you39ll get in return