AI Model Risk Validator — Research & Validation

RBC; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading financial institution in Toronto is seeking a candidate for AI model validation, focusing on assessing model risks and improving reliability. The ideal candidate is pursuing a PhD or Master's in a quantitative field, has strong programming skills in Python, and demonstrates effective communication abilities. Responsibilities include designing validation frameworks and conducting research to enhance the team's knowledge.

Qualifications

• Strong communication and interpersonal skills.
• Proficient programming skills in Python or a similar language.
• Familiarity with popular machine learning frameworks and libraries.

Responsibilities

• Challenge models and identify risks associated with their use.
• Design and execute validation frameworks exploring various modeling considerations.
• Read research papers to enhance model validation and contribute to knowledge.

Skills

Passionate about learning and staying updated with research and technology

Strong communication and interpersonal skills

Proficient programming skills in Python or similar

Familiarity with popular machine learning frameworks and libraries

Education

Progress towards a PhD or Master’s in related quantitative field

Job description

A leading financial institution in Toronto is seeking a candidate for AI model validation, focusing on assessing model risks and improving reliability. The ideal candidate is pursuing a PhD or Master's in a quantitative field, has strong programming skills in Python, and demonstrates effective communication abilities. Responsibilities include designing validation frameworks and conducting research to enhance the team's knowledge.