Data Scientist in AI Model Validation

Elevate your career as a Data Scientist dedicated to AI model validation age with cutting-edge technologies to mitigate model risks and improve banking services.

As part of RBC's AI validation team, you will oversee critical risk assessments and create validation strategies that enhance the reliability of AI capabilities within the bank. This role allows you to collaborate with diverse business units, allowing you to challenge and refine models that significantly affect areas like fraud management and digital banking. Your analytical skills and programming expertise will play a key role in ensuring the effectiveness of AI initiatives.

Key Responsibilities:

• Analyze and challenge AI models for risks

• Develop validation frameworks for robust assessments

• Engage in research to optimize our validation approaches

• Work with stakeholders to improve MLOps practices

• Review and inventory AI applications for risk materiality

Requirements:

• Progress towards a PhD or Master's in a relevant quantitative field

• Strong programming skills in Python or a similar language

• Familiarity with leading machine learning libraries is necessary

• Excellent communication and relationship-building skills

• Enthusiastic about ongoing learning in AI technology

Contribute to enhancing RBC's AI model reliability while advancing your data science career.
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