AI Model Risk Analyst
4 weeks ago
Position Overview
Role Summary
What is the opportunity?
RBC stands at the forefront of integrating Artificial Intelligence (AI) within the financial services industry, aiming to deliver exceptional value to our clients. Our initiatives encompass a broad spectrum of applications, including AI-driven digital banking solutions, advanced fraud detection mechanisms, customer service enhancements through voice assistants, and algorithmic trading strategies. To safeguard against potential financial, regulatory, and reputational risks associated with AI model usage, our AI validation team is dedicated to overseeing and managing model risk within RBC's Enterprise Model Risk Management framework.
The AI validation team employs a variety of machine learning, statistical, and computational techniques to evaluate model risk. This proactive approach enables RBC to identify potential model vulnerabilities early on and improve the reliability of production models across various business sectors.
Key Responsibilities
- Application: You will have the chance to engage in diverse areas across multiple business functions, including:
Model Types
Classification, regression, anomaly detection, natural language processing, computer vision, reinforcement learning, recommendation systems, dimensionality reduction, and Large Language Models, including generative AI.
Business Areas
Internal Audit, Cybersecurity, Fraud Management, Anti-Money Laundering, Insurance, Credit Risk, Technology Operations, Identity & Access Management, Human Resources.
- Validation: Your role will involve critically assessing models and identifying associated risks, both conceptually and empirically. You will design and implement validation frameworks, addressing various modeling considerations such as conceptual integrity, data processing, metric reproducibility and stability, benchmarking, robustness, uncertainty quantification, fairness, privacy, explainability, and implementation controls. You will also have the opportunity to explore your interests and develop your own models and tools.
- Research & Development: You will review academic literature (both established and cutting-edge) to enhance our model validation processes and contribute to our collective knowledge. You are encouraged to apply your findings to real-world challenges, create reusable software packages, and share your insights with the team.
- IT Collaboration: You will work alongside cross-functional stakeholders to establish and promote best practices related to MLOps, tooling, and IT infrastructure.
- Governance: You will collaborate with model developers (data scientists, researchers, engineers) and business stakeholders to catalog AI and machine learning applications within the organization, assess their significance, and determine if they require further review.
Qualifications
Essential:
- A strong desire to learn and stay current with advancements in research and technology.
- Excellent communication and interpersonal abilities.
- Progress towards a PhD or Master's degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative discipline.
- Proficient programming skills in Python or a similar language; familiarity with writing research experiments and a willingness to learn clean coding practices.
- Knowledge of popular machine learning frameworks and libraries.
Preferred:
- A risk-oriented mindset: Curiosity about the underlying mechanisms and rationale.
- Experience in publishing or prior research involvement (applied or theoretical).
- Familiarity with version control systems.
- Comfort with command line tools.
What we offer:
At RBC, we are committed to fostering an environment that encourages growth, collaboration, and innovation. We value our team members and support each other in achieving our fullest potential. Together, we strive to make a positive impact in our communities and achieve shared success.
This role provides you with:
- Supportive leaders who prioritize your development through coaching and mentoring.
- Flexibility to engage in projects that align with your passions.
- Opportunities to create meaningful change and a lasting impact.
- A dynamic, collaborative, and high-performing team environment.
- Challenging work that allows you to make a difference.
- Opportunities to build strong professional relationships.
Job Skills
Communication, Consulting, Critical Thinking, Financial Instruments, Group Problem Solving, Investment Risk Management, Market Risk, Quantitative Methods, Risk Management.
Inclusion and Equal Opportunity Employment
At RBC, we embrace diversity and inclusion as key drivers of innovation and growth. We are dedicated to building inclusive teams and an equitable workplace where all employees can bring their authentic selves to work. We actively address issues of inequity and systemic bias to support our diverse talent, clients, and communities.
We also strive to provide an accessible candidate experience for all prospective employees, including those with different abilities. Please inform us if you require any accommodations during the recruitment process.
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