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WHAT YOU WILL BE DOING

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As a Quantitative Analyst you will be responsible of developing, monitoring, and maintaining IRB credit risk models based on regulatory requirements, the bank’s internal standards, and industry best practice. Furthermore, you will be required to provide data, analysis, and support the management in answering queries from other business teams.

Capital Management is an essential tool in Risk Management, and is used across Santander UK to identify, assess, and mitigate the risks involved in every decision made by the business. To join the IRB team means to be right at the heart of how risks are managed in Santander UK.

The difference you’ll make

• Developing Credit Risk models with an efficient use of data, and a transparent communication to all stakeholders involved. Ensure that analysis and models are consistent with the business requirements, and fully compliant with applicable (PRA & ECB) capital regulations.
• Ensuring that relevant model developments are robust to withstand independent scrutiny and challenge by regulators.
• Supporting the model governance approval route by providing clear and complete technical model documentation following internal Santander UK templates.
• Responding to governance queries, e.g., from auditors or the regulators, and use their feedback to proactively suggest improvements to any aspect to the IRB environment.
• C ontributing to the implementation of new IRB models in the IT system, ensuring that it is consistent with the original models’ design.
• Producing and review model monitoring reports, identifying the cause of misalignment, and explaining the impact of any change in the models’ performance to key stakeholders.

What you’ll bring

• High degree of mathematical literacy, with a 2:1 degree or equivalent in a numerate discipline (for example Maths, Statistics, Sciences, Engineering, Operational Research and Physics), with advanced computer literacy skills.
• The role requires an excellent ability to manipulate data (extract, understand, summarise, represent, and transform), and use some statistical techniques to solve business problems and/or develop statistical models

It would also be nice for you to have

• Previous working experience in banking environment.
• Experience in Credit Risk Management, model development or a related area.
• SAS programming skills

What else you need to know.

• This is a permanent role which is based in offices in Manchester or Milton Keynes twice a week maximum, with flexibility working from home.

Everyday Inclusion

At Santander we’re creating a thriving workplace where all colleagues feel they belong and are supported to succeed. We all help to make Santander a workplace that celebrates diversity and attracts, retains and develops the most talented and committed people through living our values of Simple, Personal, and Fair.

How we’ll reward you.

As well as a salary, we offer a wide range of benefits that you can choose from and tailor to your needs

• Pension with generous contributions of up to 12.5% from Santander, depending on your own contribution and length of employment with us
• 27 days’ holiday plus bank holidays, which increases to 28 days after 5yrs service, with the option to purchase up to 5 contractual days per year
• Voluntary healthcare benefits at discounted rates. Including : Bupa medical insurance, dental insurance, healthcare cash plan and health assessments
• Benefits supporting you and your family, such as death-in-service benefit, income protection, and voluntary life assurance and critical illness cover
• 24/7 access to an online employee discount platform including retailers, entertainment, eating out, travel and more
• Share in Santander’s success by investing in our share plans
• Support your favourite causes through charitable giving and our community partnerships

What to do next.

If this sounds like a role you’re interested in, then please apply.

If there’s anything we can do in the recruitment process to help you achieve your best, get in touch. Whether it’s a copy of our application form in another format or additional assistance, we’re available through telephone, email, or face to face. You can contact us at [email protected] or call 0870 414 9080.