indeed
Senior Manager, AI & Advanced Analytics
Mackenzie Investments
Greater Toronto Area, CAN
Full Time
Manager
Hybrid
1 weeks ago
PythonSQLRMachine LearningStatistical ModelingPower BI
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About the Role
Mackenzie Investments seeks a Senior Manager to design and build analytics and AI-enabled solutions for internal audit and risk management. You will develop predictive models, continuous controls monitoring, and AI agent workflows.
Key Skills for This Role
PythonSQLRMachine LearningStatistical ModelingPower BI
Responsibilities
- 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 toward data driven risk quantification
- Work with stakeholders to identify use cases for automated controls testing and execute them
- Define and calibrate anomaly detection thresholds for continuous controls monitoring/auditing
- Design, build, and deploy agentic AI workflows leveraging enterprise platforms and custom AI solutions
- Manage the AI agent and model inventory including version control, ownership, risk tiering, deployment status, evidence retention, and exception tracking
- Design and build executive leadership dashboards using tools such as Power BI, Google Looker Studio, Tableau
- Support the design and delivery of AI and data analytics training programs and change support
Requirements
- Bachelor’s degree in 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
- 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
Full Job Posting
Job Description
- IGM Financial Inc. is a leading wealth and asset management company in Canada.
- Mackenzie Investments, founded in 1967, is a key part of IGM's business model.
- The Risk, Audit, & Sustainability (RAS) division is undergoing significant digital transformation.
The Role
- 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.
- The successful candidate will help advance predictive analytics, anomaly detection, and AI driven automation.
- This role offers a unique opportunity to join a high impact team shaping how analytics and AI are embedded into audit and assurance practices.
Key Responsibilities
- 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 toward data driven risk quantification.
- 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.
- Design, build, and deploy agentic AI workflows leveraging enterprise platforms and custom AI solutions.
- Manage the AI agent and model inventory including version control, ownership, risk tiering, deployment status, evidence retention, and exception tracking.
- Design and build executive leadership dashboards using tools such as Power BI, Google Looker Studio, Tableau.
- Support the design and delivery of AI and data analytics training programs and change support.
- Contribute to periodic digital modernization updates for leadership.
- Support the development of business cases for AI and analytics investments.
Qualifications
- Bachelor’s degree in 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.
- Comfortable with SQL, Python, R, or equivalent statistical computing environments, and at least one ML framework.
- Experience building continuous controls monitoring or continuous auditing capabilities using statistical methods.
- Hands on experience designing and deploying AI agents or workflows.
- Ability to validate models for statistical soundness, overfitting, bias, drift, and real world performance.
- Exceptional ability to translate complex technical and quantitative concepts for non technical audiences.
Preferred Qualifications
- Understanding of internal audit, risk management, compliance, or financial services operations.
- 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.
- Professional designation or certification: CIA, CISA, CRISC, CPA, or equivalent risk/audit credential AND/OR data science or AI certification.
- Experience working across lines of defense on technology risk or AI risk matters.
- Familiarity with ACL Analytics scripting is highly preferred.
Salary Range
- The expected annual base salary range for this role is CAD 102,500 CAD 141,500.
- 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.
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