Offer summary

Qualifications:

Practical experience in extracting, interpreting, and presenting complex data, preferably using SAS or SQL., A degree in a numerate discipline such as statistics, maths, engineering, or econometrics, with knowledge of time series analysis., Experience with Credit Risk Modelling techniques including IFRS9, Stress Testing, or IRB., Strong communication skills, both written and verbal, and proficiency in MS Office software..

Key responsabilities:

Support and maintain regular processes for monitoring and calibrating credit risk models.

Provide analytics for the design, development, validation, and implementation of credit risk models.

Document analytics to support recommendations for committees and stakeholders.

Participate in discussions across the Bank and address queries related to Business Banking models.

Job description

Business Unit: Model Risk Analytics

🤑: £32,800 - £41,000 per annum DOE + red-hot benefits🔥🎁

📍: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year)

📑: Permanent

Live to challenge the status quo. Live a life more Virgin.

Our Team🤩

As an IFRS 9 Senior Modelling Analyst you'll for providing analytics for model developments as well as in maintenance of current models. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team’s focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance.

What you’ll be doing😎

Support, maintain and develop regular processes including monitoring, calibrations, annual reviews and quarterly economic model refreshes for Business Banking.
Provide analytics to help scope, design, develop, validate and implement credit risk models, in line with Bank standards and regulatory expectations
Document analytics to support recommendation papers to committees and stakeholders
Complete analysis on provision models currently in operation to ensure they remain fit for purpose and identifying potential enhancements to modelling suites
Maintain the register of pending Model Actions
Proactively support queries from wider teams relating to Business Banking models
Participate in team and wider network discussions across the Bank.

We need you to have🌟

Practical experience of extracting, interpreting, and presenting complex data (ideally using SAS or SQL)
Experience of Credit Risk Modelling techniques (IFRS9/Stress Testing/IRB)
A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics), including knowledge of time series analysis
A solid foundation in the use of relevant statistical programming packages (e.g. SAS, Python, or R)
An understanding of standard Credit Risk Modelling techniques (IRB/IFRS9 or Stress Testing)
Excellent communication skills both written and verbal
Experience in using MS Office software to create documents and presentations (e.g. Word, Excel, PowerPoint).

It’s a bonus if you have but not essential🧁

Practical experience of model development projects within banking
An understanding of IFRS9 model usage.

Red Hot Rewards🎁

Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more.
Up to five extra paid well-being days per year.
20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt.
Market-leading pension.
Free private medical cover, income protection and life assurance.
Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness.

And there's no waiting around, you'll enjoy these benefits from day one.

Feeling insatiably curious about this role? If we’re lucky to receive a lot of interest, we may close the advert early and would hate you to miss out.

We're all about helping you Live a Life More Virgin, so happy to talk flexible working with you🤝.

⏰Applications Close: 23 Apr 2025 (4pm BST)

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