Data Specialist - Financial Crimes
About The Position
The AML Data Management team is mandated to execute the Enterprise AML and Financial Crimes Data Management Program that will govern data used within the enterprise to meet regulatory requirements and expectations, while accommodating RBC’s innovation framework. You will contribute to sustaining and enhancing the oversight and governance of data used within key processes of the AML and Financial Crimes (such as sanctions screening and transaction monitoring). You will have an opportunity to liaise with AML Compliance, AML FIU, the Chief Data Office, DNA, and other business partners to execute data management strategies and protocols to maintain and enhance an effective and efficient AML and Financial Crimes Program at RBC.
Requirements
- Undergraduate degree coupled with change management experience in complex programs with high frequency of requests and multiple priorities
- 2+ years of technical experience using SQL to interface with various databases, data sources, and file systems (RBDMS, OLTP/OLAP, flat files, UNIX, HDFS)
- Understanding of data governance and data quality concepts and processes such as Data Quality Controls, Authoritative Data Sources, Master and Reference Data, etc.
- Deadline-driven and results-oriented; able to meet consistently high quality standards while handling a variety of tasks and deadlines simultaneously
- Experience with AI like Prompt writing and use of Co-pilot.
Nice To Haves
- Knowledge of reconciliation design, data integration, data sourcing, data quality reporting, and exception resolution processes. As well as knowledge of data warehousing, front-to-back data flows and processing in banking database systems
- Ability to facilitate between and influence key decision makers
- Strategic thinker with excellent interpersonal skills to work across functions and businesses
- Strong understanding of Financial Crime or AML space.
Responsibilities
- Analyze large data sets in conjunction with data dictionaries, system documentation, and end user documentation to understand business context and translate into data requirements from an enterprise AML Program perspective
- Perform data profiling and analysis of data sources to assess data availability and ensure AML data requirements are continually satisfied
- Perform comprehensive data analysis to measure data quality in accordance with the CDO data quality strategy.
- Define data quality rules and scorecards for ongoing monitoring and measurement of data quality, particularly from an AML Program perspective
- Evaluate data quality measurements and scorecards to identify data quality issues that may impact the effectiveness of the AML Program.
- Leverage enterprise data governance tools to document detailed data lineage and data transformations through liaison between business stakeholders and IT partners
- Perform post implementation verification to ensure AML data requirements from data sources have been accurately and successfully captured in target data models/schemas
- Assist with the development of high level plans and user stories for completion of AML data requirements and acceptance phases of projects, improving in the level of detail and accuracy of estimates over time
Benefits
- bonuses
- flexible benefits
- competitive compensation
- commissions
- 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
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Flexible work/life balance options
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
