Model Validation Analyst
Job Description
Description
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What is the opportunity?
RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from NLP-powered digital banking, boosting ensembles in fraud detection and AML, voice assistants in customer service, to algorithmic trading in capital markets. A failure to effectively prepare for and manage emerging model risk related to AI would subject RBC to financial, regulatory, and reputational risks and, as a result, RBC would not be able to provide its clients with the best quality service. Therefore, the AI validation team within RBC’s Enterprise Model Risk Management (RBC Group Risk Management) is tasked with overseeing, assessing, and managing the model risk that may arise from these AI capabilities.
Job Description
What is the opportunity?
RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from NLP-powered digital banking, boosting ensembles in fraud detection and AML, voice assistants in customer service, to algorithmic trading in capital markets. A failure to effectively prepare for and manage emerging model risk related to AI would subject RBC to financial, regulatory, and reputational risks and, as a result, RBC would not be able to provide its clients with the best quality service. Therefore, the AI validation team within RBC’s Enterprise Model Risk Management (RBC Group Risk Management) is tasked with overseeing, assessing, and managing the model risk that may arise from these AI capabilities.
The AI validation team uses machine learning, statistical, and computational strategies to assess model risk. In doing so, RBC is able to identify model weaknesses early and enhance the reliability of production models across all lines of business.
What will you do?
- Validation: Conduct a technical review of AI and machine learning models across a diverse range of business functions by assessing the conceptual soundness of model configuration and their monitoring controls, documenting potential risks, and providing a professional critique of model performance.
- Engagement: Communicate effectively with cross-functional stakeholders to gather requirements, and relay technical information between model developers and validators.
- Governance: Assist in maintaining an inventory of AI and machine learning applications within the
Company
RBC
Location
Toronto
Country
Canada
Salary
150.000
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