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Hsbc
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Senior AVP - Model Risk Management AI Validation

Senior AVP - Model Risk Management AI Validation

Hsbc

7 - 12 years

35 - 40 Lacs

Bengaluru

Posted:1 day ago| Platform:

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Skills Required

Enterprise risk management remediation Management audit Neural networks Artificial Intelligence Machine learning Risk management Assistant Vice President Principal Financial services

Work Mode

Work from Office

Job Type

Full Time

Job Description

HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions.

We are currently seeking an experienced professional to join our team in the role of

Senior Assistant Vice President - Model Risk Management Artificial Intelligence Validation.

Principal responsibilities

The role holder will be the primary point of accountability for Active Risk Management, including:
Monitor academic, industry and internal HSBC developments in Artificial tools, techniques and ways of working to support a forward-looking agenda for emerging risks and challenges that Enterprise Risk Management and the Bank may face, and ensure MRM s approach to AI remains effective, efficient and up to date.
Undertake AI related 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 1LOD(1Line of Defense) to ensure appropriate resolution of identified issues.
Work with relevant stakeholders to support the embedding of 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.
Help build management, regulatory, and external confidence in all models used across the group.

Requirements

Data Scientist relevant experience in building or validating AI products.
Deep understanding of AI models, algorithms and the associated mathematics.
Experience with Python, including the main libraries used for data science and AI (e.g. PyTorch, TensorFlow, scikit-learn).
Knowledge of AI research, methodologies and techniques, particularly General Purpose AI, Deep Neural Networks, Agentic AI frameworks and statistical analysis (Variable Reduction, Feature engineering) with Supervised and Unsupervised machine learning algorithms.
Expertise with data cleaning, feature engineering, and data normalization techniques.
Active interest in the latest tools and ways of working linked to AI, with the ability to apply this knowledge in a flexible way adapting to varied circumstances across HSBC.
Ability to promote a strong risk control culture and continually improve risk awareness. Ability to develop networks with key stakeholders.
Providing advice and challenge, delivering risk management policies and managing risks and controls.
Ability to present complex technical concepts and results to non-technical audiences in a persuasive and compelling manner.
Team-oriented mentality combined with ability to complete tasks independently to a high-quality standard.

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