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We're looking for a Risk Analyst to support our strategic objective to inform business risk and reward decisions using our risk models
You'll be providing interpretation and guidance on regulatory requirements relating to risk models
Gain valuable exposure and hone your expertise as you advance your career in this challenging role
What you'll do
As a Risk Analyst, you'll be developing and maintaining compliant and fit-for-purpose models used in the bank's credit and operational risk frameworks, including models that support automated decision making, capital calculation, provisioning and stress testing across all franchises. You'll be delivering analytics and performance MI relating to these models and for the development of new and enhanced approaches in support of improved business and customer outcomes.
You'll also be:
Helping with regulatory engagement in relation to risk models and model frameworks
Supporting the business by developing and maintaining risk models and decision support models, with a focus on improved effectiveness and efficiency
Producing clear and well presented analysis, and provide actionable MI on all aspects of model performance
Identifying opportunities for improvement, both in terms of the models and measures produced, and the approaches and processes used within the team
Working effectively with other risk functions, the customer franchises and broader functions so that the model suite is integrated with other activities, ensuring effective and efficient delivery
The skills you'll need
We're looking for someone with extensive financial services experience with a broad experience of risk systems, methodologies and processes in a retail or wholesale bank environment, as well as experience of working in a modelling function or some related quantitative function.
You'll need to hold a degree in a numerate discipline, with a track record in data driven analysis and statistical and mathematical modelling.
You'll also demonstrate:
A background of project management, working as part of a team and sharing learnings from others
The ability to translate complex and statistical techniques into simple, easily understood concepts
Experience of the development and practical application of risk models, including scoring and model monitoring
A background of successfully using and deploying new data sources, approaches and tools
An understanding of statistical techniques, credit reference data, external agency data, credit systems, and databases toolsets