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 bank. Collaborate with model developers (data scientists, researchers, engineers) to ensure that validation requirements and documentation standards are met and assess if the model requires a formal validation.
Critical Thinking & Reporting: Apply critical thinking to analyze model methodologies, performance, and monitoring frameworks. Help draft and review technical reports, articulating findings and recommendations in a clear, concise, and objective manner.
Collaboration: Work closely with senior team members and subject matter experts on ongoing validation projects. Learn from experienced colleagues, contribute to team discussions, and gradually take on more responsibility as you develop your skills.
What do you need to succeed?
Must have:
Passionate about learning and staying up-to-date with the latest trends in machine learning
Strong communication and interpersonal skills
Progress towards a degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Quantitative Finance, or a related quantitative field
Analytical and problem-solving skills, with the ability to critically evaluate technical information.
organizational and project management skills with the ability to deliver high-quality technical reports and meeting tight deadlines.
Nice-to-have:
Programming skills in Python, including familiarity with libraries such as NumPy, pandas, and matplotlib.
Exposure to popular machine learning frameworks and libraries (e.g., scikit-learn)
A risk-oriented mindset: You are curious about the “how” as well as the “why"
Experience with version control systems
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work and make a difference.
Leaders who support your development through coaching and managing opportunities
#LI-Post
Job Skills
Communication, Competitive Markets, Critical Thinking, Financial Regulation, Long Term Planning, Process Management, Quantitative Methods, Risk ManagementAdditional Job Details
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
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. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
