Risk Analytics Senior Manager

at  HSBC

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We are seeking an inquisitive and analytical person to join our team in the role of Risk Analytics Senior Manager, to lead the build, enhancement, and deployment of credit risk models across global portfolios.
Credit risk analytics is a technical and fast-developing area, owing to the regulatory pressure and the level of competition in financial markets, which demands ever more accurate and objective measures of risk.
You will need to demonstrate an expertise in highly technical areas (e.g. statistical analysis, data mining) as well as deep understanding of credit business and credit products. Most of Global wholesale portfolios are low default portfolios for which default/loss data are scarce. It requires the jobholder to be able to propose unconventional solutions that help to overcome these natural limitations. Owing to the global scarcity of analytics resources, the jobholder will be subject to the ongoing pressure of deadlines for project completion.
The role requires a broad range of skills, from capacity to lead model development projects, technical expertise and ability to manipulate large data sets, to clear communication and good writing skills. The job holder will be asked to be at ease with very technical matters and at the same time be able to communicate to model users, senior management and regulators in a clear, transparent and effective way.

In this role you will:

• Lead the development of new wholesale credit risk models (PD, LGD, EAD) for global Internal Rating Based (IRB) portfolios.
• Drive enhancement of existing credit risk models in order to improve their performance or their applicability to other risk measurement requirements.
• Drive deployment and maintenance of credit risk models on existing risk systems.
• Support MMP and independent review process.
• Drive data improvement initiatives to support model development.
• Lead and participate to model usage forums and business training initiatives.
• Actively participate, as required, to governance committees (MMP, MPRF, Implementation SC) and technical panels and upport work to meet regulatory requests.
• Liaise with Risk Systems and IT to support model deployment.

To be successful in this role you should have:

• Advanced experience in a quantitative field and a sound understanding of statistics and data analytics.
• Prior experience in credit risk model development (preferably IRB).
• Excellent knowledge of wholesale credit process and products.
• Strong coding skills are essential (preferably Python).
• An ability to lead and successfully deliver projects within the agreed time scale, in liaison with all relevant stakeholders: team colleagues, model owners, credit, business, IT, senior management and regulators.
• Deep understanding of statistics and familiarity with sophisticated tools for numerical analysis.
• Strong data management and system deployment skills.
• Relevant working experience in a bank, rating agency, consultancy or advisory firm.
• An ability to prepare clear and effective presentations, trainings and workshops.
• Open personality and effective communicator, ability and flexibility to work in an international team.
• Outstanding presentation skills with the ability to share complex information in a clear, concise and accurate way.
• An ability to drive delivery of projects within the agreed time scale, in liaison with all relevant stakeholders: team colleagues, model owners, credit, business, IT, senior management and regulators.

THIS IS A HYBRID ROLE BASED IN LONDON.

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 to apply for one of our roles and need adjustments made, please get in touch with our Recruitment Helpdesk:
Email: hsbc.recruitment@hsbc.com
Telephone: +44 207 832 850

In this role you will:

• Lead the development of new wholesale credit risk models (PD, LGD, EAD) for global Internal Rating Based (IRB) portfolios.
• Drive enhancement of existing credit risk models in order to improve their performance or their applicability to other risk measurement requirements.
• Drive deployment and maintenance of credit risk models on existing risk systems.
• Support MMP and independent review process.
• Drive data improvement initiatives to support model development.
• Lead and participate to model usage forums and business training initiatives.
• Actively participate, as required, to governance committees (MMP, MPRF, Implementation SC) and technical panels and upport work to meet regulatory requests.
• Liaise with Risk Systems and IT to support model deployment

To be successful in this role you should have:

• Advanced experience in a quantitative field and a sound understanding of statistics and data analytics.
• Prior experience in credit risk model development (preferably IRB).
• Excellent knowledge of wholesale credit process and products.
• Strong coding skills are essential (preferably Python).
• An ability to lead and successfully deliver projects within the agreed time scale, in liaison with all relevant stakeholders: team colleagues, model owners, credit, business, IT, senior management and regulators.
• Deep understanding of statistics and familiarity with sophisticated tools for numerical analysis.
• Strong data management and system deployment skills.
• Relevant working experience in a bank, rating agency, consultancy or advisory firm.
• An ability to prepare clear and effective presentations, trainings and workshops.
• Open personality and effective communicator, ability and flexibility to work in an international team.
• Outstanding presentation skills with the ability to share complex information in a clear, concise and accurate way.
• An ability to drive delivery of projects within the agreed time scale, in liaison with all relevant stakeholders: team colleagues, model owners, credit, business, IT, senior management and regulators