Head of ALM Reporting, Canada Life Reinsurance

Role Overview

Following a sustained period of strong growth, Canada Life Reinsurance (CLRe) has built a significant and increasingly complex portfolio of reinsurance transactions. To support the scale and complexity of the business, CLRe has established a centralised ALM and Balance Sheet Management function that brings an enterprise balance sheet view to strategic and commercial decision‑making. 

This is a senior leadership role that will set out and execute on a vision for a new centralised asset and ALM Reporting team. This includes people, processes, systems and the associated cross functional relationships. 

What you will help us to achieve

Reporting to the Head of ALM and Balance Sheet Management, the successful candidate will:

• Build, lead and develop a high-performing team of ALM professionals, setting clear standards and fostering accountability, collaboration, inclusion and continuous development.
• Maintain a deep, continuous, end-to-end understanding of CLRe’s assets, liabilities and associated ALM exposures.
• Play a central role in CLRe’s financial and capital reporting, working collaboratively with the relevant function heads, and specifically the production of the asset and ALM reporting. This includes:
    - Balance sheet segmentation management
    - Asset data and asset cash flow projections
    - ALM risk measurement
    - Assimilation and attribution of in-period investment and economic experience
    - Asset and ALM reporting for economic, financial, capital, liquidity, risk and management reporting
    - Asset and ALM inputs into transaction collateral management and reporting
• Integrate information from multiple sources, identify actionable insights, synthesise key messages, and communicate effectively with key senior stakeholders.
• Partner closely with the Asset Strategy and the Balance Sheet Optimisation leads to identify, structure and execute end-to-end ALM and investment value-generative activity for CLRe and Great-West.
• Produce and present relevant ALM reporting materials for boards and committees as required.
• Assess and quantify reporting and operational impacts of potential changes to portfolio make-up, assumptions, processes and systems.
• Monitor and keep up to date with relevant CLRe, Great-West, industry, and regulatory activity. Assess the potential implications and opportunities for CLRe and take action as necessary.
• Lead by example within the CLRe ALM community, contributing to the development of strategy, standards and ways of working.
• Engage with centres of expertise across Great-West to ensure methodological consistency and represent CLRe at relevant internal and external forums and committees.

What you will need to be successful in the role

•    A recognised actuarial qualification with typically 10+ years of post‑qualification experience. 
•    Experience in data management, systems and governance for investment and ALM data including lineage, quality, access controls, and audit trails.
•    Demonstrated experience of Financial (IFRS), capital such as LICAT, Solvency 2, ALM and liquidity reporting for (re)insurance companies and in particular how underlying experience and assumption changes materialises through earnings, capital and liquidity.
•    Strong understanding of investment and ALM risks, including interest rate, inflation, currency, liquidity, deployment, and reinvestment risk.
•    Strong knowledge of asset–liability management principles and practices including matching, cash flow-driven ALM, and LDI approaches.
•    Knowledge of international reinsurance and investment markets, products, and industry trends.

Person Specification

The ideal candidate will have an excellent blend of leadership capability, technical depth and commercial awareness and will demonstrate: 

•    A strategic and entrepreneurial mindset that fosters high-performance and delivers sustainable results whilst maintaining governance standards.
•    Commercial focus and intellectually agility, with the ability to balance opportunity, risk, control and delivery priorities across complex workstreams.
•    Strong systems thinking and experience shaping operating models, processes, data and technology, with a focus on simplification, automation and scalable delivery. 
•    An appetite to explore and apply modern AI‑enabled techniques and new ways of working. 
•    A collaborative mindset, with a demonstrated ability to build trust and align stakeholders across functions without relying on direct authority.
•    Excellent judgement and problem-solving skills, with the ability to manage multiple complex workstreams in parallel.
•    Excellent communication skills with the ability to translate complex concepts into clear, concise, relevant insights for different audiences. 
•    High personal integrity with the confidence to challenge constructively.
•    A willingness to travel occasionally is required.