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Enterprise Liquidity Risk Measurement Specialist
2 months ago
This role is a key part of Corporate Treasury at Royal Bank of Canada, where you will support the Head of RBC Liquidity Measurement in providing timely, accurate, and reliable information on liquidity data. You will be responsible for enhancing the effectiveness and efficiency of internal controls around processing and analyzing liquidity data.
Key Responsibilities- Controlling LRM infrastructure and data integrity: Reviewing standard reporting and ensuring the integrity of data. This includes daily monitoring of RBC's on and off balance sheet data, dashboard monitoring, management of static data reference tables, reconciliation of trade data, and coordination with IT for issues related to data.
- Project Management: Assisting with project-based initiatives as required. This includes leading change and systems transformations that impact our liquidity data, extensive research on data acquisition, conversion testing, managing regional contributors, and collating and managing data issues.
- Operational processes and reporting architecture: Reviewing and providing feedback on operational processes and reporting architecture. This includes analysis of data flows and interdependent elements to allow for the correct logic to implement in complex systems and recommending enhancements for change.
- Managing changes regulatory and new products/businesses: Remaining current on regulatory guidance and changes and providing guidance on new regulation for new products and/or businesses.
- Work with a team of liquidity specialists that conduct daily data integrity health checks, coordinate analysis with regional partners, guide database and system development and maintenance activity from an end-user perspective.
- Leverage visualization tools/packages to storytell and to convey data-driven insights with actionable recommendations to key stakeholders.
- 5+ years of relevant experience in Financial Institutions
- 5+ years of experience in data solutions and applying data techniques
- Strong knowledge of design, development, and implementation experience utilizing data science technologies
- 3+ years of experience in programming and scripting languages such as Python and SQL, and data visualization tools such as Tableau
- Excellent analytical, problem-solving, time management, and organizational skills
- Strong business acumen and analytical thinker. Requires attention to detail
- Strong interpersonal skills; specifically able to act as a change agent, facilitator, and collaborator
- Highly developed communication, interpersonal, and negotiation skills are considered necessary for the success of this role
- CA, CPA, CMA Designation
- Detailed knowledge of Capital Markets businesses, products, and systems would be an asset
- Big Data Analytics, Data Analysis, Data Architecture, Database Management Systems (DBMS), Data Governance, Data Management, Derivatives, Financial Services Industry, Liquidity Management, Software Development Life Cycle (SDLC)
