About Company
At RBC, we are a leading financial institution, driven by a purpose to help our clients thrive and communities prosper. With a history spanning over 150 years, we’ve grown to become one of Canada’s largest banks and one of the largest in the world, by market capitalization. Our diverse team of over 90,000 employees serves more than 17 million clients globally across banking, wealth management, insurance, investor services, and capital markets. We are committed to innovation, leveraging cutting-edge technologies like Artificial Intelligence to enhance customer experiences, streamline operations, and ensure robust risk management. Our culture is one of collaboration, continuous learning, and making a meaningful impact, where every employee is valued and empowered to contribute to our collective success. Join RBC and be part of a future-focused organization that is shaping the financial landscape.
Job Description
Are you passionate about the intersection of human insight and artificial intelligence? Do you possess a meticulous eye for detail and a commitment to data integrity? RBC is seeking a highly motivated and detail-oriented AI Data Review Coordinator to join our innovative team in Windermere, Edmonton. In an era where AI is rapidly transforming financial services, the accuracy, fairness, and compliance of the data feeding and emerging from our AI models are paramount. This pivotal role is at the forefront of ensuring the ethical and effective deployment of AI technologies across various business functions.
As an AI Data Review Coordinator, you will act as a critical human-in-the-loop, meticulously reviewing and validating data outputs and inputs related to our AI systems. Your work will directly impact the reliability of our AI-driven decisions, the integrity of our customer interactions, and our adherence to stringent regulatory standards. You will be responsible for identifying anomalies, biases, and inconsistencies in large datasets, providing crucial feedback to our AI/ML engineering and data science teams for model refinement and improvement. This role demands a proactive individual who can not only pinpoint issues but also understand the broader implications for data governance, privacy, and customer trust. If you thrive in a dynamic environment, possess strong analytical capabilities, and are eager to contribute to the responsible development of AI in a leading financial institution, we encourage you to apply. This is an unparalleled opportunity to ensure that RBC’s AI innovations are not only cutting-edge but also underpinned by the highest standards of accuracy and ethical considerations.
Key Responsibilities
- Meticulously review and validate large datasets and AI-generated outputs for accuracy, completeness, and relevance against established guidelines and business rules.
- Identify, document, and escalate data discrepancies, biases, errors, and inconsistencies, providing clear and constructive feedback to data scientists and AI/ML engineers.
- Contribute to the development and refinement of data review protocols, quality assurance standards, and best practices for AI-related data.
- Collaborate cross-functionally with data science, engineering, compliance, and business teams to ensure data integrity and alignment with project objectives.
- Ensure strict adherence to internal data governance policies, privacy regulations (e.g., GDPR, PIPEDA), and financial industry compliance standards.
- Participate in root cause analysis of data quality issues and assist in implementing corrective actions.
- Maintain detailed records of data reviews, findings, and resolutions for audit and transparency purposes.
- Stay informed about emerging trends in AI ethics, data governance, and regulatory requirements related to artificial intelligence in finance.
Required Skills
- Proven ability to analyze complex datasets with exceptional attention to detail.
- Strong analytical and critical thinking skills to identify patterns, anomalies, and potential biases.
- Excellent written and verbal communication skills, capable of articulating complex data issues clearly to technical and non-technical stakeholders.
- Proficiency in data manipulation and analysis tools (e.g., Microsoft Excel, SQL).
- Basic understanding of Artificial Intelligence, Machine Learning concepts, and data pipelines.
- Demonstrated ability to work independently and as part of a collaborative team in a fast-paced environment.
- High level of integrity and ability to handle sensitive and confidential information with discretion.
- Problem-solving aptitude with a proactive approach to identifying and addressing issues.
Preferred Qualifications
- Bachelor's degree in Data Science, Computer Science, Statistics, Finance, Business Analytics, or a related quantitative field.
- 1-2 years of experience in data review, data quality assurance, data analysis, or a similar role, preferably within the financial services industry.
- Familiarity with regulatory compliance frameworks relevant to financial institutions.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of programming languages such as Python or R for data analysis is an asset.
- Understanding of ethical AI principles and responsible AI development.
Perks & Benefits
- Competitive salary and comprehensive benefits package.
- Health and dental insurance, vision care, and life insurance.
- Defined contribution pension plan and employee share purchase plan.
- Generous paid time off, including vacation and personal days.
- Opportunities for continuous learning, professional development, and career advancement.
- Employee assistance program for mental health and well-being support.
- Inclusive and diverse work environment that values individual contributions.
- Access to a wide range of employee discounts and financial wellness programs.
How to Apply
Interested candidates are invited to submit their application through our official careers portal. Please click on the application link below to apply directly. We thank all applicants for their interest; however, only those selected for an interview will be contacted.