Senior Manager, Infrastructure
at HSBC
London, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 17 Feb, 2025 | Not Specified | 17 Nov, 2024 | N/A | Model Development,Microsoft Excel,Python | No | No |
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Description:
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.
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.
We are currently seeking an experienced individual to join this team in the role of Senior Manager, Infrastructure. The base location for this role is London with Hybrid working.
Infrastructure is a specialist technical role within the Model Risk Management team responsible for delivery of infrastructure and reporting capability used across all geographies, business and functions to support the effective management of model risk.
The team caters to both strategic and operational aspects of managing model risk and enforces Model Risk Policies through technology across the group. They are responsible for reporting production across Model Risk Management including dashboard developments, data retrieval and quality updates, model inventory reporting and attestation tracking, data visualisation and analytics, Model Risk Management data and systems management, and systems and technology enhancements.
In this role, you will:
- Be responsible for ownership and delivery of a scalable data-model aggregating model risk systems critical data elements and ensuring data views are prepared and available to support solution delivery & associated ad-hoc business requirements.
- Deliver the Model Risk Risk Appetite Statement (RAS) reporting for HSBC Group Board, HSBC Group Chief Risk Officer and the Chief Model Risk Officer, ensuring that reporting is BCBS239 compliant.
- Deliver timely and accurate reports and solutions to support the management of model risk.
- Lead the production of high-quality Business Requirement Documents for all aspects of model risk system.
- Provide model risk reporting dashboards and relevant management information for internal and external communication support including reporting for board, committee and senior management, and engagement with Internal Audit and other key stakeholders.
- Analyse model risk reports to identify changes and trends in model risk profile and policy adherence.
- Lead analytical and highly quantitative change projects to enable 1LOD to manage model risk efficiently and effectively.
- Suggest enhancements to processes and reporting to drive efficiency across the model life cycle.
To be successful in this role you should meet the following requirements:
- Significant knowledge and experience with Python
- Strong understanding of model development or model risk management processes
- Experience to be able to identify and implement process improvements
- Excellent knowledge of Microsoft Excel and the ability to work with large data sets
- Ability to understand complex data and resolve issues in the process of building analytic tools to support users
- An innovative thinker who understands latest ways of working and can apply these in a flexible way.
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 - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. 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 have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk:
Email: hsbc.recruitment@hsbc.com
Telephone: +44 207 832 850
Responsibilities:
In this role, you will:
- Be responsible for ownership and delivery of a scalable data-model aggregating model risk systems critical data elements and ensuring data views are prepared and available to support solution delivery & associated ad-hoc business requirements.
- Deliver the Model Risk Risk Appetite Statement (RAS) reporting for HSBC Group Board, HSBC Group Chief Risk Officer and the Chief Model Risk Officer, ensuring that reporting is BCBS239 compliant.
- Deliver timely and accurate reports and solutions to support the management of model risk.
- Lead the production of high-quality Business Requirement Documents for all aspects of model risk system.
- Provide model risk reporting dashboards and relevant management information for internal and external communication support including reporting for board, committee and senior management, and engagement with Internal Audit and other key stakeholders.
- Analyse model risk reports to identify changes and trends in model risk profile and policy adherence.
- Lead analytical and highly quantitative change projects to enable 1LOD to manage model risk efficiently and effectively.
- Suggest enhancements to processes and reporting to drive efficiency across the model life cycle
To be successful in this role you should meet the following requirements:
- Significant knowledge and experience with Python
- Strong understanding of model development or model risk management processes
- Experience to be able to identify and implement process improvements
- Excellent knowledge of Microsoft Excel and the ability to work with large data sets
- Ability to understand complex data and resolve issues in the process of building analytic tools to support users
- An innovative thinker who understands latest ways of working and can apply these in a flexible way
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Financial Services
Analytics & Business Intelligence
Finance
Graduate
Proficient
1
London, United Kingdom