About Model Risk Management team

- Model Risk Management (MRM) team is responsible for end-to-end model risk management across the Group.

- The team assesses and helps mitigate model risk of complex models used in the context of risk measurement, valuation, capital, and provisions calculation, and more broadly for decision-making purposes.

- MRM partners with Risk and Finance professionals and works closely with model developers and users. Team members have opportunities for exposure to a variety of business and functional areas.

About the role - what you will be doing in our team :

Reporting to the Model Governance and Monitoring Manager, who will be your line manager and responsible for things like performance review meetings, 1-1s and development conversations, you will be responsible for :

- Producing model monitoring across the Bank that is concise and insightful. This will include comparison against model performance thresholds and proposing remediating actions where thresholds are breached.

- Presenting model monitoring packs to Senior Stakeholders at Model Technical and Model Governance Forums.

- Conducting additional analysis as required to identify drivers of model performance.

- Working with your line manager and senior project managers to support the roll-out of SAS Viya across the Bank by transitioning existing monitoring code and performing UAT testing to ensure a successful outcome.

- Increasing the automation of the current process to enable monitoring to be expanded to cover the full model inventory across the Bank.

- Supporting your line manager to deliver Model Governance requirements across the Bank.

- Supporting the Head of MRM and IMV as required to conduct independent reviews across the model lifecycle including new developments, model changes, periodic validations, ongoing monitoring, and implementation

- Supporting a robust risk culture across the primary stakeholders and business.

About You - what we need you to bring to our team and business

Experience :

- Strong analytical skills with great attention to detail, strong control mindset with interest in investigating issues and developing solutions.

- Experience in monitoring for corporate, retail, wholesale banking portfolios with a financial services organization, consulting firm, or analytic solutions provider.

- Exposure to stability, accuracy and discrimination monitoring measures including actual/expected, gini, correlation, population stability index would be desirable but not essential.

Technical knowledge :

- Quantitative experience, with high aptitude for data extraction and manipulation, analytics and problem-solving.

- Proficiency in SAS & Excel. Knowledge of other standard analytics software like R, Python and exposure to SAS Viya etc. would be desirable.

- Ability to conduct statistical analysis in a coding environment (e.g. SAS, Excel, R, Python).

Business Knowledge :

- Knowledge of banking business and associated risk management approaches sufficient to understand models in the context of the business.

Effective Communication :

- Ability to communicate and influence on sophisticated issues, verbally and in writing (including model documentation), across all key partner groups.

Drive and Delivery :

- Track record of effective delivery and overcoming challenges to deliver business results.

Integrity :

- Has ethics and integrity at the heart of every decision, and supports an environment that encourages high performance, openness, honesty and integrity.

Qualifications and Professional Memberships:

- A numerate graduate degree/Masters (Level 6) or above from any reputed University Essential

- Minimum 2 years of experience working in risk function either in model development or in model validation.

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