Manager/Senior Analyst GSC's

• 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.
• MRM are the second line of defence (2LoD) for Model Risk and the CMRO is the global Model Risk Steward for the group and is also accountable for the global operation of the MRM function. MRM teams are based in each region, to ensure local subject matter expertise and to guide, review, and challenge. MRM activity is managed on a global basis as many models are used in multiple locations. This enables MRM to operate consistently and efficiently globally, and to take account of additional local regulatory requirements.

• 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.

• 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.
• Co-ordinate with different MRM functional areas and assist with planning for AI/ML model validations.
• Support the development and management of the AI/ML playbook and test plans.
• Assist with training and the upskilling of model validation teams in AI/ML models.

• Communicate technical model related information and results to Model Owners and Model Users through the course of a validation.
• Act as a Subject Matter Expert (SME) for AI/ML Model Validations.
• Contribute to management, regulatory, and external confidence in all models used across the group.
• Provide support on the AI/ML firmwide framework and governance related activities.

• 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 data cleaning, feature engineering, and data normalisation techniques for preparing the data before feeding it into the models.
• Well versed with updated current trends in the credit risk regulatory landscape, AI/ML techniques and methods used in model risk management.
• Knowledge of statistical model and scorecard development techniques.
• Knowledge of Risk models, performance metrics and risks and associated issues.

• Significant experience with some statistical modelling software / programming language e.g. SAS, Python, R, Matlab, C++, VBA is required.
• Experience as a Data Scientist or similar role focused primarily in the Credit Risk segment of a bank/NBFC or Fintech or any other Retail business.
• Understanding and experience of Large Language Models (LLM) such as Generative AI and Predictive modelling (Linear Regression, Logistic Regression, Decision Tree, Random Forest, GBM etc.) and statistical analysis (Variable Reduction, Feature engineering) with Supervised and Unsupervised machine learning algorithms.
• Experience of developing and reviewing models throughout the customer lifecycle.
• Experience of conducting independent model reviews is beneficial.

• Technical understanding of data science, machine learning, analytical methodologies and tools the ability to adapt to the regulatory requirements and guidelines.
• Enthusiasm for proactively seeking, exploring and developing use cases for new data and/or tools/wider industry trends.
• 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.
• Any certification on Artificial intelligence courses will be preferred.

• Support the management of model risk across a large complex banking group.
• Manage model risk whilst significant transformational activity is being implemented, both regionally and globally.
• Operate within a changing and rapidly developing regulatory environment.
• 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.
• Maintain awareness of operational risk and minimise the likelihood of it occurring, including its identification, assessment, mitigation and control, loss identification and reporting in accordance with the HSBC Operational Risk Management.
• Adopt a risk management and internal control structure, referred to as the Three Lines of Defence, to ensure it achieves its commercial aims while meeting regulatory and legal requirements and its responsibilities to stakeholders, customers and staff. All staff must familiarise themselves and adhere at all times with the role and supporting responsibilities they play in the Three Lines of Defence.

HSBC