Senior Data Scientist, AI Model Risk

Job Description

<p><h3>Data Scientist, AI Model Risk</h3>
<p>Join to apply for the Data Scientist, AI Model Risk role at RBC.</p>
<h3>Job Description</h3>
<p>RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector to create value for our clients. The AI validation team within RBC’s Enterprise Model Risk Management is tasked with overseeing, assessing, and managing model risk arising from AI capabilities.</p>
<p>The AI validation team uses machine learning, statistical, and computational strategies to assess model risk, identify weaknesses early, and enhance the reliability of production models across all lines of business.</p>
<h3>What will you do?</h3>
<ul>
<li>Application: Work across various business functions.</li>
<li>Validation: Challenge models, identify risks, design and execute validation frameworks, explore modeling considerations such as conceptual soundness, data processing, metric reproducibility & stability, benchmarking, robustness, uncertainty quantification, fairness, privacy, explainability, implementation controls.</li>
<li>Research & Development: Read research papers, enhance validation practices, develop reusable software packages, share insights.</li>
<li>IT: Collaborate with stakeholders to promote MLOps best practices, tooling, and IT infrastructure.</li>
<li>Governance: Work with model developers and business stakeholders to inventory AI applications, determine materiality, and assess review need.</li>
</ul>
<h3>What do you need to succeed?</h3>
<h3>Must‑have</h3>
<ul>
<li>Passionate about learning and staying up‑to‑date with research and technology.</li>
<li>Strong communication and interpersonal skills.</li>
<li>Progress towards a PhD or Master’s degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field.</li>
<li>Proficient programming skills in Python or a similar language; comfortable with research experiments and clean code.</li>
<li>Familiarity with popular machine learning frameworks and libraries.</li>
</ul>
<h3>Nice‑to‑have</h3>
<ul>
<li>Risk‑oriented mindset.</li>
<li>Publication or prior research experience.</li>
<li>Experience with version control systems.</li>
<li>Comfortable with command line tools.</li>
</ul>
<h3>Benefits</h3>
<ul>
<li>A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.</li>
<li>Leaders who support your development through coaching and managing opportunities.</li>
<li>Ability to make a difference and lasting impact.</li>
<li>Work in a dynamic, collaborative, progressive, and high‑performing team.</li>
<li>A world‑class training program in financial services.</li>
<li>Flexible work/life balance options.</li>
<li>Opportunities to do challenging work.</li>
</ul>
<h3>Job Skills</h3>
<p>Client Counseling, Competitive Markets, Critical Thinking, Financial Instruments, Financial Regulation, Investment Risk Management, Long Term Planning, Quantitative Methods, Risk Management.</p>
<h3>Additional Job Details</h3>
<p>Address: ROYAL BANK PLAZA, 200 BAY ST: TORONTO<br/>City: Toronto<br/>Country: Canada<br/>Work hours/week: 37.5<br/>Employment Type: Full time<br/>Platform: GROUP RISK MANAGEMENT<br/>Job Type: Regular<br/>Pay Type: Salaried<br/>Posting Date: 2025-07-02<br/>Application Deadline: 2025-11-30<br/>Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.</p>
<h3>Inclusion and Equal Opportunity Employment</h3>
<p>At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.</p>
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