Model Risk Management (MRM) at HSBC is structured as a global function, headed up by the Chief Model Risk Officer (CMRO). The MRM function reports directly to the Group Chief Risk and Compliance Officer (GCRCO) ensuring its independence from the model developing and owning areas of the firm.
responsibilities :
Undertake model validation 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.
Work with relevant stakeholders to embed new Global Model Risk Policies and Procedures.
Provide model users, model owners, senior management, audit, and regulators (across 1LOD, 2LOD, 3LOD) with confidence that the models and tools developed, maintained, and used within the Group are compliant with internal and regulatory expectations and fit for the intended purpose.
Participate at Governance Forums as required.
Provide functional leadership for a small team of Model Validators operating across geographies and the HSBC matrix.
Support the recruitment and retention of junior colleagues and provide coaching and guidance.
requirements-expected :
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.
Comprehensive knowledge of statistical model and scorecard development techniques.
Detailed knowledge of Risk models, performance metrics and risks and associated issues.
Detailed 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 presenting recommendations to Senior Management.
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
