Job Summary
The Liquidity Analytics and Wholesale FTP team is seeking to fill an 8-month internship opportunity for the Summer and Fall periods, from May 5th, 2025 to December 12th, 2025. This internship provides a unique opportunity to work on impactful AI applications in a dynamic and forward-thinking environment. The successful candidate will play a vital role in advancing AI innovation within our team.
Job Description
About Us:The Liquidity Analytics and Wholesale Funds Transfer Pricing Team within RBC’s Corporate Treasury is driving cutting-edge AI initiatives to streamline workflows, enhance decision-making, and deliver operational efficiency. Our mission is to set new benchmarks for stakeholders’ experiences and operational excellence while helping to transform the Bank into a simpler, faster, and more innovative organization.
Key Responsibilities:- AI Development and Enhancement:
- Develop and enhance intuitive, user-friendly chatbot interfaces.
- Expand AI capabilities to address complex queries and support diverse Treasury use cases.
- Conduct rigorous testing to ensure system robustness, reliability, and scalability.
- Stay up to date on emerging AI/ML technologies and their applications in finance.
- Process Optimization:
- Integrate advanced AI solutions to improve operational efficiency and effectiveness.
- Support the implementation of AI-driven tools for prescriptive liquidity and funding risk treatments based on internal and regulatory metrics.
- Data Analysis and Visualization:
- Work on visualization and modeling of structured and unstructured data.
- Address a wide array of treasury-related inquiries using advanced analytical techniques.
Qualifications:Education and Background
- Currently pursuing a bachelor’s or master’s degree in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Engineering, Economics, or a related discipline.
- Knowledge of or coursework in Artificial Intelligence, Machine Learning, or Data Analytics is a strong asset.
Technical skills
- Proficiency in programming languages such as Python, R, and/or Javascript.
- Proficiency in front-end development (e.g., React or similar frameworks).
- Experience with AI/ML libraries and frameworks, including TensorFlow, PyTorch, or Scikit-learn.
- Familiarity with natural language processing (NLP) and Generative AI techniques and tools for chatbot development.
- Strong data visualization skills using tools like Tableau, Power BI, or Matplotlib.
- Experience working with structured and unstructured data, including database tools (e.g., SQL, NoSQL).
- Experience with Databricks and cloud platforms (AWS or Azure) preferred.
Analytical and Problem-Solving Skills
- Ability to analyze complex datasets and draw actionable insights.
- Demonstrated skill in creating models and frameworks for decision-making and process optimization.
- Knowledge of financial concepts, particularly liquidity and funding risk, is a plus.
- Ability to connect the dots, understand the big picture, and translate complex ideas into actionable strategies.
Communication and Collaboration Skills
- Strong written and verbal communication skills for presenting insights and recommendations to diverse stakeholders.
- Ability to collaborate effectively in cross-functional teams.
Additional Attributes
- Eagerness to learn and explore innovative AI applications in finance.
- Strong organizational skills and ability to manage multiple tasks and deadlines.
- A proactive approach to identifying inefficiencies and proposing creative solutions.
Please note:
- In order to be eligible for these student positions, you must either:
- Be returning back to school after the work term end-date; or
- If you are not returning back to school (i.e. are graduating immediately after the work term), you must require the full work term as a mandatory component in order to graduate successfully.
What We Offer:
- Hands-on experience with AI applications in Corporate Treasury.
- Mentorship from experienced professionals in AI and financial analytics.
- Access to cutting-edge technologies and innovative workflows.
- Opportunity to make meaningful contributions to transformative projects.
- Skill development from exposure to AI-driven work on complex liquidity and funds transfer pricing parameters at Canada’s biggest bank.
Job Skills
Analytical Thinking, Artificial Intelligence (AI), Collaboration, Databricks Platform, Data Visualization, JavaScript, Microsoft Azure Databricks, Oral Communications, Python (Programming Language), Structured Query Language (SQL), Tableau (Software), Written Communication
Additional Job Details
Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO
City: TORONTO
Country: Canada
Work hours/week: 37.5
Employment Type: Full time
Platform: OFFICE OF THE CFO
Job Type: Student/Coop (Fixed Term)
Pay Type: Salaried
Posted Date: 2024-12-13
Application Deadline: 2025-01-18
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 embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients, and communities.
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.
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