Job
Description
We are currently seeking an experienced professional to join our team in the role of Senior Analyst - Decision Science Principal responsibilities 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. Validate remediation activities completed by the ILOD to ensure appropriate resolution of identified issues. 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. Deliver, high quality, timely validation reports that add value to the business. Requirements Experience on Retail Credit Risk model development/validation specifically comprising stress testing models (example: CCAR, PRA etc.) and reserving models such as CECL and IFRS9. Preferably familiar with different Retail PD/LGD/EAD model development methodology and its validation for different retail portfolios such as Credit Cards, Mortgage, PIL, etc. Strong statistical knowledge with hands on working experience in various modelling techniques such as linear regression, logistic regression, time series modelling, survival models etc. Sound understanding of different Retail portfolios such as Credit Cards, Mortgage, PIL, etc. Familiarity with OCC/FRB, EBA, ECB, UAE Guidelines and PRA regulations and k nowledge 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. Minimum 1-5 years of experience of model validation/development experience in Risk Management in Retail domain 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 and conducting independent model reviews is beneficial. Good written and verbal communication skills. Team-oriented mentality combined with ability to complete tasks independently to a high-quality standard. Master s or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering. Support the management of model risk across a large complex banking group and m anage model risk whilst significant transformational activity is being implemented, both regionally and globally.
