Strategic Risk Insights Analyst at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

26 Jun, 26

Salary

0.0

Posted On

28 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistics, Computer Science, Engineering, Economics, Data Analysis, Audit, Risk Management, AI, Machine Learning, SQL, Python, R, Communication, Data Wrangling, Statistical Analysis

Industry

Financial Services

Description

Job Description What is the opportunity? As a Junior Analyst within the CAE Group, you will play a pivotal role in contributing to the digital transformation of the internal audit function by supporting data and AI initiatives that enhance audit execution and generate strategic, enterprise-level risk insights. You’ll help design analytics that enable smarter audits, contribute to quarterly insights derived from audit outcomes, and participate in cross-enterprise risk analytics engagements. This role is ideal for someone early in their career who is curious, data-driven, and excited about combining analytics, storytelling, and risk intelligence in a complex, evolving environment. What will you do? Participate in strategic analytics engagements that look across multiple audits and data sources to uncover differentiated views of risk, control weakness clusters, or systemic trends. Contribute to AI initiatives, including the use of AI foundational models, machine learning and natural language processing (NLP) to enhance audit effectiveness and drive efficiencies across the audit lifecycle. Analyze audit results across the portfolios and geographies to extract and synthesize key findings, trends, and emerging risks for quarterly enterprise audit insights. Help build and maintain dashboards and narrative reports that bring audit data to life for executive stakeholders. Work with structured and unstructured datasets including text, audio, and transactional data. Collaborate with auditors, data engineers, and subject matter experts to ensure the quality, interpretability, and alignment of analytics outputs. Maintain proper documentation, version control, and knowledge-sharing practices for repeatable and scalable analytics work. What do you need to succeed? Must-have: University degree in Data Science, Statistics, Computer Science, Engineering, Economics or a related quantitative field. 1-2 years of relevant experience (including internships/co-op) in data analysis, audit, risk management, or AI/machine learning. Proficiency in SQL and experience working with large and complex datasets. Working knowledge of Python or R, especially for data wrangling and statistical analysis. Strong communication skills with the ability to interpret and present analytical findings to non-technical audiences. Nice-to-have: Experience working with internal audit, enterprise risk, or compliance teams. Exposure to generative AI frameworks and graph analysis. Familiarity with data pipeline workflow tools such as Apache Airflow and large-scale processing engines such as Apache Spark. Experience designing and developing user interfaces using modern frameworks (e.g., React, Vue, or Dash). 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 Leaders who support your development through coaching and managing opportunities Work in a dynamic, collaborative, progressive, and high-performing team Opportunities to do challenging work Job Skills Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents Additional Job Details Address: 20 KING ST W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: INTERNAL AUDIT Job Type: Regular Pay Type: Salaried Posted Date: 2026-01-21 Application Deadline: 2026-04-13 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Responsibilities

The analyst will participate in strategic analytics engagements across multiple audits to uncover risk trends and contribute to AI initiatives using foundational models, machine learning, and NLP to enhance audit effectiveness. They will also analyze audit results to synthesize key findings and emerging risks for quarterly enterprise insights.