Job Description
What is the opportunity?
In support of the RBC Global Financial Crime Program, as Senior Data Analyst, you utilize your knowledge of sophisticated tools and strong analytical skills to effectively analyze large datasets and support the tuning, development and maintenance of client and payment screening solutions/models.
You possess a deep understanding of data analytics in order to be able to effectively address gaps, provide valuable insights and drive the success of screening solutions. You provide continuous support to the Global Financial Investigations Unit and Global Economic Sanctions to implement successful screening strategies within RBC.
What will you do?
Work closely with business partners to understand business objectives in order to be able to support, maintain and enhance RBC’s global client and payment screening models
Perform comprehensive analysis of data and data sources to assess data availability and usage, for developing data solutions that effectively meet AML and Sanction business requirements.
Act as the key point of contact for production /operational support requests related to sanctions, PEP, internal list and media scanning.
Update and optimize existing screening programs for scalability and usability, as well as to ensure alignment with evolving industry and regulatory requirements
Utilize data to supports the ‘story telling’ and ensure insights are delivered in a meaningful way to key partners and stakeholders
Responsible for maintaining scheduled jobs needed to comply with AML and Sanction programs.
Execute scheduled reviews of name sensitivity settings on client and payment screening engines and provide input for improving accuracy and efficiency of output
Conduct effectiveness testing, analysis and change management of client screening programs utilizing appropriate methodologies (e.g. initial threshold setting, tuning, and above-the-line testing/below-the-line testing methodologies)
Conduct in-depth analysis of key data elements globally for identification of data quality issues impacting effectiveness of screening solutions.
Document requirements for all solutions delivered including technical requirements, process and data flow diagrams and data mapping where applicable.
What do you need to succeed?
Must-have
Proficient with SAS and its macro language, SQL, Python and visualization software (Tableau).
Undergraduate degree in Computer Science, Mathematics, Statistics or related field; Graduate degree preferred but no required.
2+ years’ experience in data extraction, manipulation, analysis and reporting especially using Python and SQL
Solid written and verbal communication skills with proven business acumen
Experience analyzing and processing complex data using advanced querying, visualization and analytics tools.
Nice-to-have
Familiar with machine learning techniques such as supervised machine learning, logistic regression, decision trees, etc.
Knowledge of R, Hadoop, VBA, Java and C++ or other related experience desirable
Prior experience developing, tuning or validating risk-based models AML/Financial Crime industry experience
Prior experience in AML, financial crime and/or risk assessments
Intellectual curiosity and creative thinking required to effect change, address risks and drive business results
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
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in an agile, collaborative, progressive, and high-performing team
The opportunity to interface with senior level executives from many different parts of the organization.
RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.
Job ID: 93150
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