Manager, ALM Analytics & Platform Development
Canada Life View all jobs
- Winnipeg, MB
- $100,000-150,000 per year
- Permanent
- Full-time
- Develop, enhance, and operate analytical tools, models, and processes that support ALM activities and balance sheet decisions.
- Create and improve data sets, data views, and dashboards for analysis of assets, liabilities, capital, liquidity, earnings, and risk exposures.
- Support the design, testing, and refinement of analytical capabilities used to replicate key balance sheet measures, perform scenario and sensitivity analysis, and assess capital efficiency, investment decisions, and risk trade-offs.
- Direct coding may be part of the role, but equally important is the ability to frame business problems and use modern tools-including AI-assisted development tools-to prototype and improve solutions.
- Manage or support initiatives related to ALM transformation, analytical platform development, reporting enhancements, and process improvement.
- Undertake research, data collection, and analysis on investments, balance sheet strategy, risk management, financial reporting, and regulatory capital requirements.
- Work with ALM team members and other stakeholders to improve analytical processes, reports, and decision support while addressing business objectives, governance requirements, operational considerations, and risk constraints.
- Help transition spreadsheet-based and other end-user-computing processes into more controlled, transparent, and sustainable analytical workflows.
- Minimum of 5 years of relevant work experience.
- University degree in Finance, Actuarial Mathematics, Statistics, Computer Science, Data Science, or a similar discipline, or an equivalent level of knowledge gained through technical training and relevant work experience.
- Strong grasp of financial concepts relevant to investments, ALM, valuation, capital, and/or risk management, together with insight into how technology and artificial intelligence can support business objectives.
- Positive attitude, strong learning mindset, motivation, strong verbal and written communication skills, and the ability to collaborate with a wide range of stakeholders.
- The ideal candidate brings strong financial analysis capability together with comfort working with data, models, and analytical tools. Experience in both of the following areas is valuable:
- Technology / Data / Analytics - Experience working with data, analytical tools, databases, and software applications (for example Excel, Power BI, SQL, Python, or similar tools). Deep coding experience is helpful but not required if the candidate has strong analytical capability and a demonstrated willingness to learn and use modern tooling, including AI-assisted development environments such as coding copilots.
- Financial Analysis - Knowledge of investments, accounting, balance sheet management, capital, and risk management.
- Candidates with particular strength in financial analysis and a demonstrated willingness to learn technology-enabled ways of working (including AI-assisted tools) are encouraged to apply, even if they do not already have deep coding experience.
- A professional designation and/or relevant certifications (for example FCIA, CFA, FRM, CAP, Open CDS, or similar) are desirable but not essential.