Manager, AML Data Management

20 KING ST W:TORONTO

Clarivate

Clarivate is a global leader in providing trusted insights and analytics. Our vision is to improve the way the world creates, protects, and advances innovation.

View company page

Job Summary

Job Description

WHAT IS THE OPPORTUNITY?  

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.

WHAT WILL YOU DO?  

  • 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

WHAT DO YOU NEED TO SUCCEED?

Must have

  • Undergraduate degree coupled with change management experience in complex programs with high frequency of requests and multiple priorities

  • 5+ 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.

  • Proficient with SAS programming and its macro language to perform quantitative data analysis and transformations.  Other expertise with R, Hadoop, VBA, Java and C++  or other related experience desirable

  • Deadline-driven and results-oriented; able to meet consistently high quality standards while handling a variety of tasks and deadlines simultaneously

Nice-to-have

  • 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

  • Certified Anti-Money Laundering Specialist (CAMS) designation or other related certifications

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and 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

#LI-hybrid

#LI-POST

#TechPJ

Job Skills

Critical Thinking, Critical Thinking, Data Administration, Database Integrity, Database Structures, Data Classification, Data Compilation, Data Documentation, Data Explorations, Data Flows, Data Governance, Data Lineage, Data Management, Data Manipulation, Data Mapping, Data Modeling, Data Movement, Data Profiling, Data Quality, Data Transformation, Data Warehousing (DW), Detail-Oriented, Enterprise Data, Group Problem Solving, Information Capture {+ 5 more}

Additional Job Details

Address:

20 KING ST W:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2024-03-25

Application Deadline:

2024-05-09

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.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Banking Classification Data analysis Data governance Data management Data quality Data Warehousing Hadoop HDFS Java OLAP R SAS SQL

Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Team events

Region: North America
Country: Canada
Job stats:  8  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.