Division & Location

Division: IGM Risk, Audit & Sustainability
Location: Toronto, Winnipeg

IGM Financial Inc. is a leading wealth and asset management company in Canada, managing approximately $310 billion in assets as of December 31, 2025. It offers financial planning and investment services to over two million Canadians through IG Wealth Management and Mackenzie Investments. Founded in 1926, IG Wealth Management is a key part of IGM's business model, providing comprehensive wealth management services to Canadian financial advisors and their clients. With a vision to inspire financial confidence, IG Wealth Management is recognized as one of Manitoba’s Top Employers, Canada’s Top 100 Employers, and Best Diversity Employers, aiming to innovate the industry and support Canadians in achieving their financial goals.

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.

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 explicit, 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 a 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.

Compensation & Benefits

Expected annual base salary range: $102,500 - $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 include competitive compensation & recognition, employee benefits & insurance, retirement savings programs, work-life balance, inclusive culture and diversity.

IGM is a diverse workplace committed to doing business inclusively — we encourage applications from all qualified candidates representing the diverse population across Canada, including racialized persons, women, Indigenous persons, persons with disabilities, 2SLGBTQIA+ community, gender diverse and neurodiverse individuals, as well as all who may contribute to the further diversification of ideas.

IG is an accessible employer committed to providing a barrier-free recruitment experience. If you require an accommodation or this information in an alternate format at any stage, please reach out to the Talent Acquisition team.

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📌 Senior Manager, AI & Advanced Analytics (Winnipeg)
🏢 IG Wealth Management
📍 Winnipeg