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Skills: Artificial Intelligence, Python, Machine Learning, LLMs, Agentic AI
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Full-time
postgraduate degree
Continuous learning, Coaching and development opportunities, Collaborative work environment
Posted 5d ago
Apply by Aug 31
~38 hrs/week
Responsibilities
You will validate LLM-based applications and agentic AI systems to identify conceptual and empirical risks. Additionally, you will collaborate with cross-functional stakeholders to establish best practices for MLOps and IT infrastructure.
Requirements
Candidates must be pursuing a PhD or Master's degree in a quantitative field and possess proficient Python programming skills. Familiarity with LLMs, agentic frameworks, and a risk-oriented mindset are essential for success in this role.
Full job description
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 LLM-powered digital banking to voice assistants in customer service. 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 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?
Application: You will have the opportunity to collaborate with teams across a wide variety of business functions, such as the following: Internal Audit, Cybersecurity, Fraud Management, Anti-Money Laundering, Insurance, Credit Risk, Technology Operations, Identity & Access Management, Human Resources.
Technical Scope: Your primary focus will be on validation of LLM-based applications and agentic AI systems. This role may also involve validating traditional machine learning models, including classification, regression, anomaly detection, natural language processing, reinforcement learning, and recommendation systems.
Validation: Your role is to challenge models and identify risks associated with their use – both conceptually and empirically. To that end, you will explore modelling considerations such as conceptual soundness, metric reproducibility & stability, benchmarking, uncertainty quantification, fairness, privacy, explainability, implementation controls and more. You will also have the freedom to explore ideas that interest you and build your own models and tools.
Research & Development: You will read research papers (established work and state-of-the-art) to enhance how our team validates models and contribute to our knowledge pool. You are encouraged to apply what you've learned to real-world problems, develop reusable software packages, and share your insights with others.
IT: You will collaborate with cross-functional stakeholders to establish and promote best-practices related to MLOps, tooling and IT infrastructure.
What do you need to succeed?
Must-have
Passionate about learning and staying up-to-date with research and technology
Strong communication and interpersonal skills
Progress towards a PhD or Master's degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field
Proficient programming skills in Python; you should already be comfortable with writing research experiments and be willing to learn how to write clean code.
Familiarity with popular LLMs and agentic frameworks.
Nice-to-have
A risk-oriented mindset: You are curious about the "how" as well as the "why"
Publication or prior research experience (applied or fundamental)
Experience with version control systems
Comfortable with command line tools
Familiarity with popular machine learning frameworks and libraries
What's in it for you?
As a team, we thrive on the challenge to be our best, encourage progressive thinking for continued growth, and collaborate with one another to deliver trusted advice to help our clients thrive and our communities prosper. We respect and care about all of our team members and support one another in reaching our fullest potential. We work together to make a difference in our communities and to achieve success that is mutual.
This opportunity will provide you with:
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work, make a difference and lasting impact
Continuous learning and flexibility to work on projects that you are passionate about
Leaders who support your development through coaching and managing opportunities
Note:Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.
RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com.
We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
http://rbc.com/legalstuff.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.
https://www.rbc.com/conditions-dutilisation/
Offices: 200 Bay Street, Toronto, Ontario M5J 2J5, CA · 1 Place Ville-Marie, Montreal, QC H3B 1Z3, CA · 2 Park St, Sydney, NSW 2000, AU · 100 Bishopsgate, London, England EC2N 4AA, GB · Persiaran Apec, Cyberjaya, Selangor 63000, MY
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Which companies are hiring for Science & Research roles in Toronto, Canada?
Companies currently hiring include University Health Network, OISE, Department of Leadership, Higher and Adult Education - University of Toronto, Humber River Health, CAMH, Eurofins Viracor, among others. Browse the listings above to see every active employer.
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