Please read the following job description thoroughly to ensure you are the right fit for this role before applying.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, Automation.

The base location for this role is London with Hybrid working.

In this role, you will:

Develop the Python codes’ library that would be used to create statistical analyses and tests required to assess the quality and performance of the Credit and Market Risk models used within the Bank (with a particular emphasis on Wholesale Credit Risk PD/LGD/EAD Models).

Critical assessment of the statistical tests that are to be incorporated in the library.

Preparing the Unit tests and Integration tests necessary to efficiently manage those libraries.

Improving existing codes and report creation tools.

Support the enhancements to data flows across systems used in the bank and processes to drive efficiency across the model life cycle.

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 and its main libraries used for data analytics & visualisation (e.g. pandas, scikit-learn, flask).

Strong understanding of model development or model risk management processes (with a particular emphasis on Wholesale Credit Risk PD/LGD/EAD Models).

Experience with automation projects (e.g. automating the monitoring & validation of credit risk models).

Experience to be able to identify and implement process improvements.

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:

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