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Manager, Pension Risk Transfer (PRT) Modelling & Analytics
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- Full-time
Experience with actuarial programming, modelling and data analytics tools (e.g. SQL, R, Python, Power BI) is considered an asset.
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Manager, Pension Risk Transfer (PRT) Modelling & Analytics
BMO
Toronto, ON · YNG
- Full-time
Experience with actuarial programming, modelling and data analytics tools (e.g. SQL, R, Python, Power BI) is considered an asset.

BMO Insurance

Manager, Pension Risk Transfer (PRT) Modelling & Analytics

Toronto, ON, Canada

$70,000.00 - $150,000.00 · Full-time

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Job details

Pay: $70,000.00 - $150,000.00
Job type: Full-time
Apply by: Dec 3, 2026
Experience: Minimum 5 years of actuarial experience, preferably in life insurance, pension consulting or reinsurance.
Posting language: English
Posted: Nov 3, 2026

Original job description

#bmoinsurance

The role sits within the Institutional Solutions Pricing team at BMO Insurance. The team’s primary objective is to provide financial security for pensioners by helping Canadian organizations de-risk their balance sheets through Pension Risk Transfer (PRT) transactions. The team combines actuarial expertise, financial analysis, modelling and strategic thinking to evaluate and price complex transactions. Team members have the opportunity to influence key business decisions, develop sophisticated analytical capabilities, collaborate with partners across the organization, and contribute to the continued growth of a market-leading business.

Key responsibilities are leading actuarial modelling and analytics, supporting PRT pricing, and contributing to strategic initiatives and ad-hoc projects.

This includes:

Take ownership of actuarial models and analytical processes, coordinating development, implementation, testing and ongoing enhancements.
Develop and enhance pricing and projection models used to evaluate Pension Risk Transfer opportunities.
Analyze pension plan data, demographic characteristics and experience data to develop modelling insights and actuarial assumptions.
Lead mortality experience studies and other analyses to develop and evaluate transaction-specific assumptions.
Perform financial and actuarial modelling to evaluate profitability, capital requirements, risk and other key transaction metrics.
Develop sensitivity and scenario analysis to assess transaction risks and explain key drivers of financial outcomes.
Translate complex modelling results into actionable insights and recommendations for senior stakeholders and transaction approval committees.
Lead enhancements to pricing methodologies, modelling frameworks, analytical tools and model governance.
Partner with teams across actuarial, investments, finance, operations, legal and risk management to ensure models appropriately reflect business requirements.
Participate in strategic initiatives, process improvements, automation and development of new analytical capabilities.

Qualifications and skills:

(Note: desirable qualifications and skills are listed below. A candidate does not need to meet all criteria to be considered.)

Minimum 5 years of actuarial experience, preferably in life insurance, pension consulting or reinsurance.
Fellow level designation from the CIA, SOA, or equivalent.
Strong understanding of actuarial modelling, pricing, valuation and financial projection techniques.
Working knowledge of defined benefit pension plans, pension administration and annuities.
Ability to lead complex analytical work and communicate modelling results to both technical and non-technical audiences.
Advanced proficiency in Excel and experience developing or maintaining complex actuarial models.
Strong analytical, problem solving and model development skills.
Strong verbal and written communication skills.
Strong collaboration skills and the ability to lead work across multiple stakeholders.
Demonstrated interest in automation, scalable modelling solutions and continuous improvement.
Experience with actuarial programming, modelling and data analytics tools (e.g. SQL, R, Python, Power BI) is considered an asset.
Fluency in French is considered an asset.

Salary:

$70,000.00 - $150,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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More about this job

Responsibilities

Lead the development, testing, maintenance, and enhancement of actuarial models and analytical processes used to price and evaluate Pension Risk Transfer transactions. Analyze pension and experience data, assess transaction profitability and risk, communicate recommendations to senior stakeholders, and collaborate across business functions on strategic and process-improvement initiatives.

Requirements

Requires at least five years of actuarial experience, preferably in life insurance, pension consulting, or reinsurance, and a Fellow-level designation from the CIA, SOA, or equivalent. Candidates should have strong actuarial modelling and pricing expertise, knowledge of defined benefit pensions and annuities, advanced Excel skills, and the ability to lead complex analysis and communicate results; programming and analytics tools and French are assets.

Skills

Actuarial Modelling
Pricing
Financial Projections
Defined Benefit Pension Plans
Annuities
Mortality Experience Studies
Pension Risk Transfer
Data Analysis
Excel
SQL
R
Python
Power BI
Model Governance
Scenario Analysis
Stakeholder Communication

Benefits

Health Insurance
Tuition Reimbursement
Accident Insurance
Life Insurance
Retirement Savings Plans
Performance-Based Incentives
Discretionary Bonuses

Visa sponsorship

Not detected in the job text

Keywords

Pension Risk Transfer
Actuarial Modelling
Actuarial Pricing
Financial Projections
Defined Benefit Pension Plans
Pension Administration
Annuities
Mortality Experience Studies
Actuarial Assumptions
Transaction Profitability
Capital Requirements
Risk Analysis
Sensitivity Analysis
Scenario Analysis
Model Governance
Pricing Methodologies
Excel
SQL
R
Python
Power BI
Automation
Data Analytics
CIA
SOA
Reinsurance
Life Insurance
Pension Consulting
Stakeholder Communication
Process Improvement

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