Join us as a Credit Stress Testing Analytics Manager
What you'll do
- Take on a pivotal role in our Finance function, where you'll be modelling macroeconomic and climate change scenarios for stress testing and strategic planning purposes
- Use your advanced technical skills and expertise in credit or financial modelling to provide insights for our bank's management to deliver robust projections to regulators
- Hone your analytic and risk management skills as you produce analysis as needed by our business and regulators to interpret and use stress testing results and scenario projections
As a Credit Stress Testing Analytics Manager, you'll be supporting the effective risk management capital assessment capability across our business, driving processes and tools that effectively identify and quantify material risks to our bank.
Alongside this, you'll be modelling credit scenario projections for a specific business area using the approved models, methodologies and processes and providing business insights, analysis and management information to explain projects in the context of the given scenario.
Day-to-day, you'll be:
The skills you'll need
- Developing and implementing the quantitative methodologies needed to project impairments and credit risk weighted assets
- Supporting and coordinating the delivery of regulatory exercises, such as the internal capital adequacy assessment process
- Producing financial analysis and challenging and validating numbers to present to stakeholders
- Implementing the quantitative methodologies needed to project impairments and credit risk weighted assets
- Defining adjustments to modelled outputs to address model weaknesses and limitations while applying management judgement
To succeed in this role, you'll need knowledge of credit or financial modelling, ideally in a retail or wholesale banking environment and a professional qualification, including a Chartered Financial Analyst or a Financial Risk Manager qualification.
Alongside this, you'll be educated to degree level or equivalent in a quantitative discipline, such as Mathematics, Statistics, Economics or Business, preferably to post graduate level.
You'll also demonstrate:
- Excellent automation and analysis skills, including knowledge of programming languages, such as Python, SQL and SAS
- Good knowledge of stress testing methodologies necessary to produce results and challenge businesses
- A good understanding of the relevant capital requirements or the IFRS9
- The ability to simplify complex and conflicting tasks and policy positions, making sure that these are effectively managed and communicated
- Knowledge of risk management, the application and delivery of risk appetite and effective risk control frameworks within complex business functions