Manager, Data Scientist (Contract) at Dr Bill RBC Ventures

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

15 Feb, 26

Salary

0.0

Posted On

17 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Process Automation, Risk Management, Python, SQL, Excel, Stakeholder Management, Data Quality, Automation, Data Governance, Financial Services, Regulatory Assessment, Data Science, Machine Learning, Predictive Analytics, Data Mining

Industry

Banking

Description

Job Description What is the opportunity? 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 Manager to lead the design, execution, and oversight of data-driven processes supporting our Sanctions Risk Assessment framework. This role will assist in 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. *Contract opportunity up to 12 months* 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. Client & Product Mapping Contribute and oversee the logic for identifying active clients, including inclusion/exclusion criteria. Conduct review and challenge for mappings between products, assessment units, and clients to ensure consistency and traceability. 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 Maintain and update 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. Document, monitor, and enhance each stage of the process to ensure performance, resilience, and compliance. 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. 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. 2+ 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. Proficiency in SQL with hands-on experience extracting, manipulating and preparing data (ETL) from multiple sources. Experience in creation and execution of the test cases and test scripts based on business requirements. Comfortable with intermediary to advanced Excel (e.g. complex formular, pivot table etc). Excellent writing and analysis skills, particularly in risk assessment script documentation. Proven stakeholder management skills. Strong time management and organizational discipline under tight deadlines. Experience in completing complex cross-team initiatives with minimal oversight. Quick learner and self-starter. Nice-to-have Familiarity with sanctions compliance, financial crime risk, or regulatory assessment frameworks. Experience with Dataiku and Tableau. Understanding of data governance principles and data management. Demonstrated ability to manage project lifecycle from design to deployment and monitoring. 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 include competitive compensation and flexible benefits 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 build close relationships with clients. #LI – POST Job Skills Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language) Additional Job Details Address: WATERPARK PLACE, 20 BAY ST: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: 2025-10-28 Application Deadline: 2025-12-31 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Inclusion 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. 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. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Manager, Data Scientist will lead the design, execution, and oversight of data-driven processes supporting the Sanctions Risk Assessment framework. This includes automating data processes, ensuring data quality, and managing stakeholder interactions across various units.