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Job ref: 062928a850d849beb751a4427c13194c
Full Job Description
Global Head, MRM AI- Risk and Compliance
Some careers open more doors than others.
If you're looking for a career that will unlock new opportunities, join HSBC and experience the possibilities. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
Our Risk and Compliance function has a critical role to play in supporting, challenging and advising across all areas of the business through establishing policy, monitoring profiles, and identifying and managing forward-looking risk and compliance. We focus on creating an environment that encourages our people to speak up and do the right thing, as well as protecting our customers, the organisation and the integrity of the financial markets in which we operate. Already an industry-leader in many respects, we want to continue setting standards and evolving to respond to strategic changes.
As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.
We are currently seeking an experienced individual to join this team in the role of Global Head, MRM AI.
Model Risk Management (MRM) at HSBC is structured as a global function, headed up by the Chief Model Risk Officer (CMRO). 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
As Global Head, MRMR AI, you
will be the primary point of accountability for
Active Risk Management, including, but not limited to:
-Monitor academic, industry and internal HSBC developments in AI tools, techniques and ways of working to support a forward-looking agenda for emerging risks and challenges that ERM and the Bank may face, and ensure MRM's approach to AI remains effective, efficient and up to date.
-Lead and oversee 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.
-Identify opportunities to use AI tools and techniques to improve internal MRM processes.
-Adapt or refine existing AI tools to enable their use for internal MRM processes.
-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 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.
To be successful in this role you should meet the following requirements
-Significant and relevant experience leading the 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 the risks associated with developing, deploying and using AI in large commercial organizations.
-Extensive knowledge of a financial institutions business model, products and key risk drivers and a demonstrated ability to effectively balance risk management, regulatory expectations, and commercial pragmatism.
-Strong knowledge of the regulatory landscape for AI and ability to access the impact of proposed changes in these regulatory rules to the bank.
-Knowledge of AI research, methodologies, techniques, and industry benchmarks, particularly General Purpose AI and Deep Neural Networks.
-Experience developing or testing AI models in a large commercial organization, or ability to demonstrate a strong understanding of relevant principles if coming from outside the commercial sector.
-Ability to lead and promote a strong risk control culture and develops communication strategies to improve risk awareness.
-Significant experience of establishing and maintaining external relationships ideally with regulators.
-Proven ability to develop strong networks with key stakeholders at all points in a matrix structure, creating an ability to execute task at hand with minimum conflict.
-Leading a multi-locational team of professionals.
-Providing expert advice and robust challenge by delivering risk management policies and managing risks and controls
-A minimum of a Master's degree (or PhD preferred) in a quantitative discipline like Science, Engineering, Mathematics, Statistics, Quantitative Finance, or Engineering, would be highly beneficial.
-
The base location for this role is London - Hybrid Working
You'll achieve more when you join HSBC.
Opening up a world of opportunity
Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, disability, religion, sexual orientation, or age.
We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.
If you'd like for one of our roles and need adjustments made, please get in touch with our Recruitment Helpdesk:
Email: hsbc.recruitmenthsbc
Telephone: +44 207 832 8500
Significant and relevant experience leading the 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 the risks associated with developing, deploying and using AI in large commercial organizations.
-Extensive knowledge of a financial institutions business model, products and key risk drivers and a demonstrated ability to effectively balance risk management, regulatory expectations, and commercial pragmatism.
-Strong knowledge of the regulatory landscape for AI and ability to access the impact of proposed changes in these regulatory rules to the bank.
-Knowledge of AI research, methodologies, techniques, and industry benchmarks, particularly General Purpose AI and Deep Neural Networks.
-Experience developing or testing AI models in a large commercial organization, or ability to demonstrate a strong understanding of relevant principles if coming from outside the commercial sector.
-Ability to lead and promote a strong risk control culture and develops communication strategies to improve risk awareness.
-Significant experience of establishing and maintaining external relationships ideally with regulators.
-Proven ability to develop strong networks with key stakeholders at all points in a matrix structure, creating an ability to execute task at hand with minimum conflict.
-Leading a multi-locational team of professionals.
-Providing expert advice and robust challenge by delivering risk management policies and managing risks and controls
-A minimum of a Master's degree (or PhD preferred) in a quantitative discipline like Science, Engineering, Mathematics, Statistics, Quantitative Finance, or Engineering, would be highly beneficial.
-
Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, disability, religion, sexual orientation, or age.
We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.
If you'd like for one of our roles and need adjustments made, please get in touch with our Recruitment Helpdesk
As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.
Some careers open more doors than others.
If you're looking for a career that will unlock new opportunities, join HSBC and experience the possibilities. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
Our Risk and Compliance function has a critical role to play in supporting, challenging and advising across all areas of the business through establishing policy, monitoring profiles, and identifying and managing forward-looking risk and compliance. We focus on creating an environment that encourages our people to speak up and do the right thing, as well as protecting our customers, the organisation and the integrity of the financial markets in which we operate. Already an industry-leader in many respects, we want to continue setting standards and evolving to respond to strategic changes.
As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.
We are currently seeking an experienced individual to join this team in the role of Global Head, MRM AI.
Model Risk Management (MRM) at HSBC is structured as a global function, headed up by the Chief Model Risk Officer (CMRO). 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
As Global Head, MRMR AI, you
will be the primary point of accountability for
Active Risk Management, including, but not limited to:
-Monitor academic, industry and internal HSBC developments in AI tools, techniques and ways of working to support a forward-looking agenda for emerging risks and challenges that ERM and the Bank may face, and ensure MRM's approach to AI remains effective, efficient and up to date.
-Lead and oversee 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.
-Identify opportunities to use AI tools and techniques to improve internal MRM processes.
-Adapt or refine existing AI tools to enable their use for internal MRM processes.
-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 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.
To be successful in this role you should meet the following requirements
-Significant and relevant experience leading the 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 the risks associated with developing, deploying and using AI in large commercial organizations.
-Extensive knowledge of a financial institutions business model, products and key risk drivers and a demonstrated ability to effectively balance risk management, regulatory expectations, and commercial pragmatism.
-Strong knowledge of the regulatory landscape for AI and ability to access the impact of proposed changes in these regulatory rules to the bank.
-Knowledge of AI research, methodologies, techniques, and industry benchmarks, particularly General Purpose AI and Deep Neural Networks.
-Experience developing or testing AI models in a large commercial organization, or ability to demonstrate a strong understanding of relevant principles if coming from outside the commercial sector.
-Ability to lead and promote a strong risk control culture and develops communication strategies to improve risk awareness.
-Significant experience of establishing and maintaining external relationships ideally with regulators.
-Proven ability to develop strong networks with key stakeholders at all points in a matrix structure, creating an ability to execute task at hand with minimum conflict.
-Leading a multi-locational team of professionals.
-Providing expert advice and robust challenge by delivering risk management policies and managing risks and controls
-A minimum of a Master's degree (or PhD preferred) in a quantitative discipline like Science, Engineering, Mathematics, Statistics, Quantitative Finance, or Engineering, would be highly beneficial.
-
The base location for this role is London - Hybrid Working
You'll achieve more when you join HSBC.
Opening up a world of opportunity
Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, disability, religion, sexual orientation, or age.
We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.
If you'd like for one of our roles and need adjustments made, please get in touch with our Recruitment Helpdesk:
Email: hsbc.recruitmenthsbc
Telephone: +44 207 832 8500
Significant and relevant experience leading the 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 the risks associated with developing, deploying and using AI in large commercial organizations.
-Extensive knowledge of a financial institutions business model, products and key risk drivers and a demonstrated ability to effectively balance risk management, regulatory expectations, and commercial pragmatism.
-Strong knowledge of the regulatory landscape for AI and ability to access the impact of proposed changes in these regulatory rules to the bank.
-Knowledge of AI research, methodologies, techniques, and industry benchmarks, particularly General Purpose AI and Deep Neural Networks.
-Experience developing or testing AI models in a large commercial organization, or ability to demonstrate a strong understanding of relevant principles if coming from outside the commercial sector.
-Ability to lead and promote a strong risk control culture and develops communication strategies to improve risk awareness.
-Significant experience of establishing and maintaining external relationships ideally with regulators.
-Proven ability to develop strong networks with key stakeholders at all points in a matrix structure, creating an ability to execute task at hand with minimum conflict.
-Leading a multi-locational team of professionals.
-Providing expert advice and robust challenge by delivering risk management policies and managing risks and controls
-A minimum of a Master's degree (or PhD preferred) in a quantitative discipline like Science, Engineering, Mathematics, Statistics, Quantitative Finance, or Engineering, would be highly beneficial.
-
Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, disability, religion, sexual orientation, or age.
We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.
If you'd like for one of our roles and need adjustments made, please get in touch with our Recruitment Helpdesk
As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.
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