Job Title: Assistant Director Model Validaton

In this role, you will: 

• Model Risk Governance -Setting the firm's model risk policies and standards, ensuring that model risk is managed within the approved tolerance levels, providing second line assurance on the implementation of policy, and monitoring regulatory developments impacting model risk.
• Model Risk Stewardship - Facilitating responsible development, understanding and use of models and analytics, as well as providing subject matter expertise, advice, guidance, and effective challenge across all entities, regions, global businesses, and functions.
• Independent Model Validation- Independently reviewing and (re)validating models, providing an objective, unbiased and critical opinion on the suitability and soundness of models for their intended use and the accuracy, relevance and completeness of outputs used to inform business decisions.
• Infrastructure - provides specialist technical expertise and are responsible for delivery of infrastructure and reporting capability used across all geographies, business, and functions to support the effective management of model risk.
• Model types include but are not limited to Credit Risk models (Retail and Wholesale)- IRB/IFRS9 models, Stress Testing and Scenario Analysis models, Economic Capital models, Financial Vulnerability models, Pricing models, Traded Risk models, Insurance Risk models and models covering non-financial areas e.g., transaction monitoring, customer selection and human resources. This includes the traditional model types as well as modern approaches such as machine learning (ML) and artificial intelligence (AI) techniques.
• Undertake measures to independently execute end-to-end model validations 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.

 

To be successful you will:

Please refer to the table at OTHERS, highlighting the functional and technical requirements for the role.

• Familiarity with regulatory requirements regarding model development and validation (e.g. PRA, OCC/FRB, EBA, HKMA, UAE).
• Knowledge of Risk models, performance metrics and risks and associated issues.
• Stay up to date with industry best practices, academic research, and evolving regulatory expectations in model risk management.
• Bachelor’s or master’s degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Finance, or a related discipline.
• Deep technical expertise in statistical modelling and advanced quantitative methods.
• Demonstrated ability to manage project timelines and deliverables effectively.
• Continually support HSBC's approach to conduct and cultivate a positive risk aware culture, which is designed to ensure we deliver fair outcomes for our customers and do not disrupt the orderly and transparent operation of financial markets.

 

You’ll achieve more at HSBC

Hsbc.Com/Careers

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

 

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Issued By HSBC Electronic Data Processing (India) Private LTD