Job Description
Corporate Treasury (CT) provides a unique, bird’s eye view of the entire Enterprise. CT is responsible for the management of enterprise-wide capital, liquidity, non-trading interest rate risk and pension assets, and the execution of term funding, capital, and interest rate risk hedging transactions. In this role, the candidate will have the opportunity to work within both the Capital and Liquidity spaces of CT.
Capital Measurement under Financial Resource Optimization (FRO) is responsible for the management of capital resources in support of RBC’s key strategic objectives. FRO’s mandate includes measurement, monitoring, and forecasting of risk-weighted assets, leverage, and capital metrics. FRO works jointly with Businesses, Strategy, Group Risk Management, and other verticals in Finance to measure and deploy capital in support of RBC’s growth and financial objectives, and adherence to regulatory requirements.
Liquidity Measurement is primarily responsible for managing RBC’s liquidity risk in a prudent and cost-effective manner, against both regulatory and internal targets, and in adherence to policies and principles outlined in an Enterprise Risk Management Framework. Corporate Treasury develops strategies and contingency plans in support of the Bank’s liquidity risk objectives.
As a Data and Product Analyst student, you will work with both Capital and Liquidity Data, Systems, and Business Solutions teams. Your work will support Product Owners with both, the existing infrastructure platform, as well as the build-out/upgrades to the platform arising out of key regulatory initiatives and/or other major initiatives implemented in support of the bank’s key business strategies and objectives.
What will you do?
You will support the Product team by contributing and leading:
- Work alongside a product owner(s) and be responsible for analyzing key data sets and data elements related to Capital and Liquidity Measurement and Reporting.
- Participate in a team where data, measurement, and analysis are integral to smart decision-making and ensuring accurate and complete measurement of Capital and Liquidity metrics such as RWA (Risk Weighted Asset) and LCR (Liquidity Coverage Ratio).
- Prototype, test, and operationalize dashboards, KPIs, and visualizations.
- Develop agile metrics (e.g. sprint velocity, burndown, etc.) to contribute to oversight of BAU (business as usual) operations and increase agile maturity.
- Following from the data and metrics activities, investigate a business process and engage others in the organization, analyze systems, and identify and investigate bottlenecks/blocks.
- Document and communicate findings with clarity and succinctness.
- Work with Capital and Liquidity team members to devise, weigh, and implement solutions.
- Engage business teams, critical data providers, and other Finance and Risk functions to find solutions and/or remediate issues with data for measurement and reporting within both Capital and Liquidity domains.
What do you need to succeed?
Must-have
- Currently enrolled at a Canadian post-secondary institution with a focus on Business, Finance and Economics, Data Science and Data Analytics, Computer Science and Engineering, Mathematics and Statistics.
- Comfortable with learning new technologies, applying empirical thinking to data and balanced with ability/ambition to perform logical deduction based on learnings of business and financial concepts on the job (prior knowledge/background nice-to-have).
- Excellent interpersonal and highly developed communication skills (verbal and written).
- Creative and analytical thinker who is self-driven and capable of working in a fast-paced environment.
- Leadership acumen and a passion to apply it in a dynamic business environment.
- Capability to manage multiple priorities across several assignments and prioritize effectively.
Nice-to-have
- Knowledge of and experience in Capital, Liquidity, and Credit and Liquidity Risk Management.
- Knowledge/Ability to Learn of Regulatory Guidelines around Capital and Liquidity such as CAR and LAR Guidelines.
- Knowledge or experience with business analysis process (requirements gathering, documentation, use cases).
- Expressed interest or previous experience in the financial industry or FinTech.
- Experience with agile or design thinking methodologies or frameworks.
- Demo