Job Description

Location: Toronto/Winnipeg

Referral: Level 1

The Role: The Risk, Audit, & Sustainability (RAS) division is undergoing significant digital transformation - modernizing how Internal Audit and Risk Management operate through the adoption of an enterprise GRC platform, advanced analytics, and AI-enabled workflows.

This role (Senior Manager, AI & Advanced Analytics) will design and build analytics and AI-enabled solutions-from continuous controls monitoring and risk indicator development to identifying control gaps and inefficiencies, with a primary focus on Internal Audit. As capabilities evolve, the successful candidate will help advance predictive analytics, anomaly detection, and AI-driven automation, ensuring solutions are responsible, governed, and scalable.

This role offers a unique opportunity to join a high-impact team shaping how analytics and AI are embedded into audit and assurance practices. It is ideal for someone who combines strong quantitative skills (statistical modeling, predictive analytics, anomaly detection) with applied AI. The successful candidate will be comfortable working across the full analytics maturity spectrum - from foundational reporting, diagnostics, and rule-based monitoring to advanced modeling, statistical analytics, and AI-enabled automation.

Key Responsibilities:

• Data Science & Predictive Analytics
  • Design, develop, and maintain predictive models for risk concentration detection, control failure prediction, anomaly identification, and pattern matching.
  • Build risk scoring and quantification models that move the function from qualitative (High/Medium/Low) risk assessment toward defensible, data-driven risk quantification
• Continuous Controls Monitoring/Auditing (CCM)
  • Work with stakeholders to identify use cases that are good candidates for automated controls testing and execute them.
  • Define and calibrate anomaly detection thresholds for continuous controls monitoring/auditing - balancing sensitivity and specificity to minimize false positives while catching genuine exceptions
• AI Agent Development & Workflow Engineering
  • Assist in readying Internal Audit processes for automation and agentic integration
  • Design, build, and deploy agentic AI workflows leveraging enterprise platforms (e.g: ChatGPT/Google Gemini) and also developing custom AI solutions
  • Manage the AI agent and model inventory including version control, ownership, risk tiering, deployment status, evidence retention, and exception tracking
• Executive Dashboarding & Reporting
  • Design and build executive leadership dashboards using tools such as Power BI, Google Looker Studio, Tableau, and the GRC platform's native visualization capabilities
  • Create data storytelling assets that translate complex analytics outputs into clear, actionable insights for non-technical leadership audiences
• Training, Enablement & Change Management
  • Support in the design and delivery of AI and data analytics training programs and change support for AI and Analytics champions, the broader team and leadership.
• AI Strategy & Intelligence
  • Contribute to periodic digital modernization updates for leadership
  • Support the development of business cases for AI and analytics investments, including benefit tracking and value measurement

Qualifications:

• Bachelor's degree in [relevant field, e.g., Computer Science, Engineering] or equivalent experience.
• 7-10 years of progressive experience spanning data science, AI/ML and engineering
• Strong proficiency in statistical methods including regression, classification, clustering, anomaly detection, and time series analysis. Demonstrated experience building, validating, and maintaining predictive models in a business context.
• Comfortable with SQL, Python, R, or equivalent statistical computing environments, and at least one ML framework (scikit-learn, TensorFlow, PyTorch, or equivalent)
• Experience building continuous controls monitoring or continuous auditing capabilities using statistical methods
• Hands-on experience designing and deploying AI agents or workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agentic AI design patterns
• Ability to validate models for statistical soundness, overfitting, bias, drift, and real-world performance - and to defend methodology under scrutiny
• Strong problem-solving skills and attention to detail.
• Exceptional ability to translate complex technical and quantitative concepts for non-technical audiences, including executive leadership and board-level stakeholders.

Preferred Qualifications:

• Understanding of internal audit, risk management, compliance, or financial services operations. Ability to connect data science and AI capabilities to business outcomes.
• Experience with GRC platforms and their AI/analytics capabilities
• Experience designing and delivering technical training programs for mixed-skill audiences
• Experience with AI governance operations - including risk tiering, lifecycle controls, testing frameworks, inventory management, and monitoring. Familiarity with NIST AI RMF, ISO 42001, or equivalent AI governance frameworks
• Professional designation or certification: CIA, CISA, CRISC, CPA, or equivalent risk/audit credential AND/OR data science or AI certification (Google Professional ML Engineer, AWS ML Specialty, or equivalent)
• Experience working across lines of defense (first line, second line, internal audit) on technology risk or AI risk matters
• Familiarity with ACL Analytics scripting is highly preferred

The expected annual base salary range for this role is $102,500 - $141,500, which is determined based on skills, knowledge and experience and geographic location. In addition to base salary, this role is eligible for annual short-term incentive, health and well-being benefits, retirement and savings plan, paid time off and career development.

Benefits:

• COMPETITIVE COMPENSATION & RECOGNITION: competitive base salary, performance-weighted bonus, education/career support, option to join Employee Share Purchase Plan with employer matching component.

• EMPLOYEE BENEFITS & INSURANCE: competitive health and dental coverage, flexible plan for you and your family and short-term & long-term disability plans.

• RETIREMENT SAVINGS PROGRAMS: voluntary Group RRSP enrolment with employer matching component.

• WORK LIFE BALANCE: paid volunteer days, competitive time off including 10 wellness days off, WorkPerks discount program, hybrid & flex work arrangements.

• INCLUSIVE CULTURE AND DIVERSITY: living our core values: Be a Team, Be Accountable, Be Better, engaging with community through Business Resource Groups (BRG communities are volunteer employee-led groups formed around a common interest, identity, or background).

How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their qualifications and experience to https://www.mackenzieinvestments.com/en/careers.

Artificial Intelligence in Recruitment: As part of our Talent Acquisition process, we may use artificial intelligence and automated tools to support activities such as candidate sourcing, application review, and interview scheduling. These tools support the recruitment process; all hiring decisions are made by people.

We thank all applicants for their interest in Mackenzie Investments; however, only those candidates selected for an interview will be contacted.

Please apply by July 22 2026.