Model Risk Governance Analyst

Posted 3 days ago by NatWest

Location:
EH12 1HQ

Join us as a Model Risk Governance Analyst

  • In this key role, you’ll support the management and continuous improvement of model risk governance across NatWest Boxed
  • We’ll look to you to support the creation and maintenance of policy, standards and procedures for model risk management which are aligned to internal and external requirements
  • You’ll work with colleagues across the company, allowing you to expand your network and gain exposure for you and your work

What you'll do

As a Model Risk Governance Analyst, you’ll play a pivotal role in developing and executing AI risk management to identify, assess and mitigate risks relating to AI system development, deployment and usage. You'll focus on designing a best in class model risk management framework, supporting the portfolio of models and AI initiatives across the model lifecycle, producing risk reporting and insights for relevant stakeholders

You’ll also be:

  • Supporting communication of policy requirements and compliance levels across the organisation
  • Contributing to the design and implementation of AI in line with with policy requirements changes
  • Producing timely and accurate model risk reporting that  supports effective decision making
  • Advocating for AI and model risk initiatives at governance meetings

The skills you'll need

To succeed in this role, you’ll need experience in risk management as well as in policy management, reporting and data analysis. You’ll be an experienced communicator with the ability to present complex issues in a user-friendly, clear, concise format to all levels of audience.

You’ll also demonstrate:

  • Knowledge of model risk and AI risk management
  • Knowledge of risk-model-related regulatory requirements
  • The ability to collaborate and build successful relationships with stakeholders
  • Strong attention to detail and the ability to prioritise, anticipate needs and adapt to changing priorities

Type:
Permanent
Contract Length:
N/A
Job Reference:
22822_R-00249684
Job ID:
222961963

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