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BMO Insurance

Associate, Portfolio Analytics

Toronto, ON, Canada

$65,000.00 - $140,000.00 · Full-time

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Job details

Pay: $65,000.00 - $140,000.00
Job type: Full-time
Apply by: Dec 6, 2026
Experience: Typically, 3+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
Posting language: English
Posted: Nov 6, 2026

Original job description

#bmoinsurance

This Associate, Portfolio Analytics will support the CIO Office in BMO Life Assurance (BMOLA) by delivering high‑quality quantitative analytics across portfolios, liabilities, and balance‑sheet metrics. The position plays an important enabling and influencing function by ensuring that investment conversations are supported by robust, transparent, and timely quantitative analysis. The role develops and maintains analytics, models, and dashboards that help decision‑makers understand portfolio risks, trade‑offs, and balance‑sheet implications.

This is a hands‑on, technical role designed for candidates with strong quantitative and programming skills who want direct exposure to front‑office investment process.

Key Responsibilities:

Portfolio, ALM & Trade Analytics

Support discount curve construction and maintenance under established methodologies.
Produce asset‑liability analytics, including duration, convexity, KRDs, and cash‑flow mismatch measures.
Assist with pre‑trade and post‑trade quantification, calculating impacts on portfolio risk, carry, roll‑down, and surplus sensitivity.
Run scenario and stress tests (rates, curve shape, spreads) and summarize results for PMs and CIO Office.

Balance Sheet & Risk Analysis

Calculate surplus sensitivity and risk metrics under different market scenarios.
Support decomposition of portfolio and surplus risk into rate, spread, and credit components.
Assist with monitoring concentration, liquidity, and key risk indicators.

Dashboard & Analytics Development

Build and maintain Python‑based analytics, data pipelines, and calculation engines.
Develop and update investment and risk dashboards used by CIO Office and PMs.
Ensure data accuracy, documentation, and reproducibility of analytics.

Collaboration &c Learning

Work closely with senior analysts, PMs, ALM, and Risk teams.
Contribute to investment materials and analytics for portfolio reviews and committees.
Continuously enhance technical and market knowledge.

Required

Qualifications:

SQL, Python/R/SAS, and visualization (e.g., PowerBI) skills are essential.
Knowledge and experience in capital markets are essential.
Investment designation preferred.
Knowledge of investment performance and investment risk strongly preferred.
Data analytics skills are essential.
Collaboration & team skills; with a focus on cross-group collaboration.
Typically, 3+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
Bachelor or M.Sc in relevant field preferred.

Salary:

$65,000.00 - $140,000.00

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

Develop and maintain quantitative portfolio, asset-liability, trade, and balance-sheet analytics, including risk measures, scenario tests, and dashboards. Collaborate with portfolio managers, senior analysts, ALM, and Risk teams to support investment decisions, portfolio reviews, and committee materials.

Requirements

Candidates need SQL, Python, R, or SAS skills, visualization and data analytics capabilities, and knowledge of capital markets; investment performance and risk experience are strongly preferred. The role typically requires at least three years of relevant experience or an equivalent combination of education and experience, with a relevant bachelor's or master's degree preferred.

Skills

SQL
Python
R
SAS
Power BI
Capital Markets Knowledge
Data Analytics
Investment Performance Analysis
Investment Risk Analysis
Portfolio Analytics
Asset-Liability Management
Quantitative Analysis
Dashboard Development
Data Pipeline Development
Scenario Analysis
Cross-Group Collaboration

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

Portfolio Analytics
Asset-Liability Management
Discount Curve Construction
Duration
Convexity
Key Rate Durations
Cash-Flow Mismatch
Pre-Trade Analysis
Post-Trade Analysis
Portfolio Risk
Carry
Roll-Down
Surplus Sensitivity
Scenario Testing
Stress Testing
Interest Rates
Yield Curve
Credit Spreads
Liquidity Risk
Concentration Risk
Risk Indicators
Python
SQL
R
SAS
Power BI
Data Pipelines
Calculation Engines
Investment Performance
Capital Markets

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