Senior Manager, Strategic Risk Insights

RBC; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A major Canadian bank in Toronto is seeking a Senior Manager, Strategic Risk Insights, to lead the digital transformation of internal audit through advanced data and AI initiatives. The role requires an advanced degree, 8+ years in data analytics, and proficiency in Python and SQL. Key responsibilities include designing analytics solutions and communicating findings to senior stakeholders, within a dynamic and collaborative environment. Comprehensive rewards program and professional development opportunities offered.

Benefits

Competitive compensation

Comprehensive Total Rewards Program

Opportunities for challenging work

Qualifications

• 8+ years of hands-on experience in data analytics, AI/machine learning, or risk analytics.
• Expert proficiency in Python (or R) and SQL.
• Demonstrated experience architecting and deploying machine learning and NLP solutions.

Responsibilities

• Lead the design and deployment of advanced analytics and AI solutions.
• Architect and implement scalable data pipelines and machine learning models.
• Synthesize and communicate complex audit findings to executive stakeholders.

Skills

Critical Thinking

Data Administration

Data Mining

Data Modeling

Data Movement

Detail-Oriented

Group Problem Solving

Quantitative Research

Research Documents

Education

Master's or PhD in Data Science, Computer Science, Engineering, Statistics

Tools

Python

SQL

Apache Spark

Apache Airflow

Job description

What is the opportunity?

As a Senior Manager, Strategic Risk Insights within the CAE Group, you will be a technical leader driving the digital transformation of the internal audit function through advanced data and AI initiatives. You will architect and execute complex analytics solutions that deliver strategic, enterprise-level risk insights, and directly influence audit strategy and execution. This hands‑on role is ideal for a seasoned professional with deep technical expertise, a track record of delivering impactful analytics, and the ability to lead cross‑functional projects in a dynamic, evolving environment.

What will you do?

• Lead the design, development, and deployment of advanced analytics and AI solutions that transform audit execution and risk intelligence across the enterprise.
• Architect and implement scalable data pipelines, machine learning models, and NLP solutions to uncover systemic risk trends and control weaknesses.
• Synthesize and communicate complex audit findings, trends, and emerging risks to executive stakeholders through compelling dashboards, reports, and presentations.
• Drive cross‑functional analytics engagements, collaborating with auditors, data engineers, and subject matter experts to ensure technical excellence and business alignment.
• Oversee the governance, documentation, and reproducibility of analytics assets, establishing best practices for version control and knowledge sharing.
• Evaluate and integrate emerging technologies (e.g., generative AI, graph analytics, large‑scale processing engines) to continuously enhance audit analytics capabilities.

What do you need to succeed?

Must‑have

• Advanced degree (Master’s or PhD preferred) in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field.
• 8+ years of hands‑on experience in data analytics, AI/machine learning, or risk analytics, with a proven record of delivering enterprise‑scale solutions.
• Expert proficiency in Python (or R), SQL, and experience with large, complex datasets and modern data architectures.
• Demonstrated experience architecting and deploying machine learning and NLP solutions in production environments.
• Strong track record of translating technical analytics into actionable business insights for senior leadership.

Nice‑to‑have

• Experience in internal audit, enterprise risk, or compliance analytics at a large organization.
• Hands‑on expertise with generative AI frameworks, graph analytics, and large‑scale processing engines (e.g., Apache Spark).
• Familiarity with workflow orchestration tools (e.g., Apache Airflow) and cloud‑based data platforms.
• Recognized thought leadership in data analytics, evidenced by publications, conference presentations, or open‑source contributions.
• Demonstrated experience designing intuitive and effective user interfaces for analytics dashboards or reporting tools.

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: 2025-12-11

Application Deadline: 2025-12-25

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion & 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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