The Global Economic Sanctions (GES) team is a unique function within the Financial Crimes that provides support to Global Financial Crimes teams and Business Units at an enterprise level for Canadian, US, UK, EU/Europe, APAC and Caribbean economic sanctions.
We are seeking an experienced and technically skilled
Data Scientist
to facilitate the design, execution, and oversight of data-driven processes supporting our
Sanctions Risk Assessment
framework. This role will assist the
end-to-end automation, aggregation, calculation and data quality check process
, ensuring alignment with policy requirements and risk methodologies, while managing complex stakeholder interactions across risk, technology, and business units.
This role combines technical skills, risk acumen, process oversight, and strong interpersonal skills to ensure the end-to-end execution of the risk assessment data-driven process is robust, efficient, and aligned to enterprise expectations.
What will you do?
Data Requirements & Analysis
Translate
sanctions risk methodology
into structured data pull and processing requirements.
Assess
data availability
across assessment units to drive accurate and tailored data sourcing.
Collaborate with data owners and SMEs to define, validate, and refine source data elements and extraction logic.
Automation of Risk Tools
Drive the automation of
Control Self-Assessment (CSA)
,
Qualitative Risk Questionnaires (QRQ)
, and
Product & Service Questionnaires (PSQ)
.
Enhance and integrate scripts to streamline execution, reduce manual effort, and improve accuracy.
Ensure automation reflects evolving requirements and maintains alignment with policy and methodology changes.
Configuration & Tailoring
Execute
threshold tables
and
configuration files
, tailoring logic to reflect
assessment unit-specific requirements
.
Ensure changes are fully documented, reviewed, and regression tested.
Aggregation & Calculation Logic
Develop and maintain robust scripts to perform
quantitative data aggregation, scoring, and risk calculations
at scale.
Ensure accuracy, performance, and auditability of aggregation and calculation processes.
Data Quality Automation & Outlier Analysis
Design and implement
automated data quality checks
to identify inconsistencies, discrepancies, or misalignments in critical data elements.
Highlight anomalies or indicators of
elevated risk
requiring further investigation and/or local engagement.
Review script outputs to verify that logic aligns with
requirement documentation
and meets defined risk objectives.
Conduct detailed analysis and validation to ensure outcomes support the risk methodology.
End-to-End Process Management
Manage the
entire lifecycle
of data sourcing, transformation, automation, and output validation for sanctions risk assessment.
Document, monitor, and enhance each stage of the process to ensure performance, resilience, and compliance.
Leadership & Stakeholder Management
- Act as the key point of contact for senior stakeholders in
Risk, Compliance, -Technology, Data Governance, and the Business
.
Communicate complex technical issues in a clear, structured way to non-technical audiences.
Navigate and lead
difficult conversations
to resolve disagreements, clarify responsibilities, or address delivery gaps.
Prioritize competing demands and manage
multiple timelines
effectively.
Assist in other governance responsibilities, as required, including
Produce sanctions dashboard and management reporting on sanctions compliance program.
Assist in audit, testing or regulatory exams related to sanctions.
Assist in tracking and closing sanctions-related issues.
Assess and review sanctions policies and procedures developed by global business units and/or local compliance teams; review and recommend amendments to the enterprise sanctions policy based on knowledge of the global sanctions environment.
Develop and update sanctions related training.
Complete other ad-hoc assignments supporting GES program oversight team.
What do you need to succeed?
Must-have
Bachelor's or Master's degree in Data Science, Computer Science, Risk Management, Statistics, or related field. 3+ years of experience in data analysis, process automation, or technology roles, preferably in financial services or compliance.
Strong coding skills in
Python
(e.g. Pandas), with experience automating data pipelines and risk tools.
Experience with
risk frameworks, controls
, or
regulatory reporting
.
Demonstrated ability to manage
end-to-end project lifecycle
from design to deployment and monitoring.
Excellent writing and analysis skills, particularly in script documentation and whitepaper.
Nice-to-have
Familiarity with sanctions compliance, financial crime risk, or regulatory assessment frameworks.
Experience with version control systems (e.g., Git), workflow orchestration (e.g., Airflow), and data visualization tools (e.g., Tableau).
Understanding of data governance principles and data management.
CAMS, CSS or equivalent sanctions or AML certification.
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
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work
#LI-Post
#TechPJ
Job Skills
Big Data Management, Critical Thinking, Data Administration, Data Governance, Data Movement, Data Warehousing (DW), Information Capture, Knowledge Organization, Long Term Planning, Repository Tools
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:
Contract (Fixed Term)
Pay Type:
Salaried
Posted Date:
2025-06-30
Application Deadline:
2025-07-18
Note
:
Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
I
nclusion
and Equal Opportunity Employment
At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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