Key Responsibility: As an Analyst, Valuation & Modelling, you will support client engagements through financial modelling, valuation work, solution analysis, reporting, and research. You will work closely with our Solutions team to assess complex insurance strategies, evaluate alternatives, and develop analytical tools that support client recommendations.

This role combines technical analysis with practical problem-solving and offers exposure to financial modelling, business valuation concepts, life insurance solutions, and client advisory work.

Job Responsibilities:
Financial and Valuation Modelling

Build, maintain, update, and validate financial and valuation models.

Complete recurring modelling processes and analytical calculations.

Analyze projected cash flows, policy performance, and alternative scenarios.

Support the development and enhancement of modelling tools and processes.

Troubleshoot model issues and investigate unexpected results.

Ensure outputs are accurate, complete, and aligned with client objectives.

Analysis and Problem Solving

Review requests to understand the underlying business objective.

Analyze data and identify trends, anomalies, and inconsistencies.

Validate assumptions and assess the reasonableness of results.

Develop practical solutions to analytical and modelling challenges.

Conduct research to support strategy development and client recommendations.

Client and Stakeholder Support

Work closely with Partners, consultants, Account Managers, and Account Service Representatives.

Gather, organize, and analyze information required to support client engagements.

Communicate with internal stakeholders to clarify requests and requirements.

Explain modelling outputs and recommendations in a clear, understandable manner.





Support the preparation of client-facing reports and presentations.

Reporting and Documentation

Prepare analyses, reports, and supporting documentation.

Review data quality and completeness before deliverables are finalized.

Maintain documentation of models, assumptions, methodologies, and processes.

Support continuous improvement and automation initiatives.

Education:
A degree in one of the following disciplines is preferred:

Actuarial Science

Mathematics

Statistics

Finance

Economics

Commerce

Business

Data Analytics

Another quantitative field

Experience:
We're open to candidates with varying levels of experience, including:

Financial analysis

Business valuation

Actuarial analysis

Investment analysis

Corporate finance

Analytics and reporting

Insurance or financial services

Assets
Any of the following would be considered an asset:

Progress toward actuarial credentials (SOA/CIA)

Chartered Business Valuator (CBV) designation or progress toward the CBV designation

Experience building complex financial models

Experience working with life insurance products

VBA, Power Query, Power BI, or other automation tools

Exposure to valuation, investment, or actuarial concepts

Critical Skills & Attributes
The ideal candidate will demonstrate:

Advanced Excel and modelling capabilities





Solid analytical and quantitative skills

Intellectual curiosity and a desire to understand how things work

Sound judgment and attention to detail

Strong verbal and written communication skills

The confidence to ask questions and challenge assumptions

An ability to manage multiple priorities in a collaborative environment

A commitment to accuracy, quality, and continuous improvement

Why Join Aeternus?

Exposure to sophisticated financial and insurance planning strategies

Opportunity to learn from experienced professionals across multiple disciplines

Meaningful client-focused work with direct business impact

A collaborative and entrepreneurial environment

Ongoing professional development and growth opportunities

A role that can evolve based on your strengths and career interests

The ideal candidate will be responsible for using their analytical mindset to analyze and interpret financial data, then relating it to potential business trends and issues. This candidate will feel comfortable using insights they have discovered to communicate important themes and discoveries to company leadership.

Responsibilities

Analyze current and past financial data and performance to make recommendations on profit enhancement

Consistently analyze financial information based on both routine and ad-hoc reports

Interpret financial data to recognize changing trends, patterns, and their meaning related to key performance indicators

Communicate financial insights suggesting business issues to management

Qualifications

Bachelor's degree in Accounting, Economics, or Finance or equivalent experience

0 - 3 years' financial analysis and modeling experience

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📌 Analyst, Valuation & Modelling (Saskatchewan)
🏢 Aeternus
📍 Saskatchewan