Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 1 month ago
RB
Director, DevOps Insights
Royal Bank of Canada
Toronto, ON
- Full-time
Direct the engineering of pipelines on Snowflake, Airflow and Python, with the reliability and data quality standards a bank requires
Added 1 month ago
U
Statistical Assistant
UNESCO
Montreal, QC
- From $53,996 CAD / year
Calculate indicators for the assigned portfolio using existing programmes and standard statistical software (Python, R, SQL or Stata as applicable), following documented methodology.
Added 1 month ago
Software Developer III, Ads Infrastructure
Google
Waterloo, ON
Experience with large-scale data processing pipelines (e.g., Flume, MapReduce, SQL-like data processing engines).
Added 1 month ago
PM
Product Analyst
Product Madness 📱🎮
Montreal, QC
- Full-time
Collaborate directly with the game team in supporting their day-to-day data needs.
Added 1 month ago
CO
Manager, Geographic Information Systems (GIS)
City of North Vancouver
North Vancouver, BC
- Full-time
You have strong knowledge of enterprise GIS, spatial data management and geospatial technologies, with proficiency in ArcGIS Enterprise, ArcGIS Online and field data collection tools. You…
Added 1 month ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
…Node.js, including React and Next.js or equivalent, as well as Python, backed by relational databases with row-level security, versioned schema migrations, and immutable audit…
Added 1 month ago
S
Vice President, Index Management – Equity Rebalancing, Canada
Solactive
Toronto, ON
- Full-time
Proficiency in Python is required while experience in VBA, MATLAB, or SQL is an asset.
Added 1 month ago
M
Senior Data Analyst I, Product
Mistplay
Toronto, ON
- Full-time
Maîtrise du langage SQL. Expérience de l'extraction de données complexes et hautement dimensionnelles, ainsi que de la modélisation de scénarios et de l'analyse de sensibilité à l'aide…
Added 1 month ago
AG
Analyst, Data Management & Visualization
Adelphi Group
Toronto, ON
- Full-time
Working knowledge of SQL, and ideally Python or another data manipulation language.
Added 1 month ago
AG
Supervisor, Marketing Science
Adelphi Group
Toronto, ON
- Full-time
Partner with Data Engineering and Media teams to support data integration and reporting solutions.
Added 1 month ago
Spatial Specialist (Productivity and Automation Specialist)
City of Toronto
Toronto, ON
…technology solutions. In this role, you will leverage your expertise with Esri technologies, including ArcGIS Pro, ArcGIS Online and ArcGIS Enterprise, along with your skills in Python,…
Added 1 month ago
Senior Network Monitoring Engineer
Rogers Communications
Montreal, QC
Practical scripting and automation experience, preferably with Python, Bash, PowerShell, or similar technologies.
Added 1 month ago
M
Product Manager
Morningstar
Toronto, ON
- Full-time
We are seeking a Product Manager with strong business analysis and data analysis skills to lead the development and ongoing enhancement of managed investment calculation capabilities.
Added 1 month ago
M
Data Governance Analyst
Morningstar
Toronto, ON
- Full-time
Experience with SQL, preferably MS SQL Server, and data controls or catalog platforms such as DataHub, Collibra, Alation, Informatica, Microsoft Purview, or similar tools.
Added 1 month ago
EC
Research Analyst (Contract)
ECO Canada
Calgary, AB
- Contract
We provide competitive benefits and compensation with a great work environment. We are serious about performance, but we also know how to celebrate successes and have fun along the way!
Added 1 month ago
CL
Data Engineer
Codd Labs
Toronto, ON
- Contract
- Strong experience building data pipelines with Python and SQL.
Added 1 month ago
C
Senior QA Automation – SDET
CGI
Toronto, ON
- Full-time
…This is a hands-on role for a quality engineering professional with strong expertise in UI automation, API and web services testing, SQL, service virtualization, and banking…
Added 1 month ago
B
Tech Lead - Application Development N 4C
BrightClaim
Montreal, QC
- Full-time
…and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run.…
Added 1 month ago
EI
Factory Test Automation Lead
Ecolab Inc.
Calgary, AB
- Full-time
Experience with Python or similar programming languages for automation, test execution, or data processing.
Added 1 month ago
BO
Canada | Toronto | Global Technology Summer Analyst - Software Engineer | 2027
Bank of America
Toronto, ON
- Volunteer
Eligible candidates must have a graduation timeframe between November 2027 and August 2028
Added 1 month ago
Programmer Analyst II
City of Regina
Regina, SK
Should have working experience with GIS Libraries and Frameworks like ArcGIS API for Python, ArcGIS JavaScript API, Leaflet, OpenLayers, and GDAL.
Added 1 month ago
Programmer Analyst II
City of Regina
Regina, SK
Should have working experience with GIS Libraries and Frameworks like ArcGIS API for Python, ArcGIS JavaScript API, Leaflet, OpenLayers, and GDAL.
Added 1 month ago
TI
2027 BrainBox AI Intern
Trane Italia
Montreal, QC
- Full-time
Lieu de travail: Ce poste est désigné comme étant en présentiel, avec un travail effectué à notre site de Montréal, QC, 5 jours par semaine
Added 1 month ago
TI
2027 Accelerated Development Program - BrainBox AI
Trane Italia
Montreal, QC
- Full-time
Une présence physique à votre lieu de travail assigné est requise 5 jours par semaine
Added 1 month ago
V
Senior Data Scientist
Visa
Toronto, ON
- Full-time
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager

Morningstar

Product Manager

Toronto, ON, Canada

$75,600.00-$110,874.00 · Full-time

Apply on morningstar.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: $75,600.00-$110,874.00
Job type: Full-time
Experience: 3+ years of experience in product management, business analysis, or data analysis, preferably within investment analytics, financial data, or financial services.
Posting language: English
Posted: Sep 8, 2026

Original job description

The Team

Morningstar’s Analytics group develops and delivers proprietary methodologies, calculations, and analytical capabilities that help investors evaluate investments and make informed decisions. The Managed Investment Calculations team translates Morningstar’s research and intellectual property into accurate, scalable, and consistent analytics used across Morningstar products.

The Role

We are seeking a Product Manager with strong business analysis and data analysis skills to lead the development and ongoing enhancement of managed investment calculation capabilities.

This role combines product ownership with hands-on analytical work. You will partner with methodology experts, quantitative researchers, engineering, and quality assurance teams to translate investment methodologies and business needs into detailed calculation specifications and reliable production capabilities. You will analyze complex investment datasets, prototype and validate calculations, investigate discrepancies, and ensure that implementations faithfully reflect Morningstar’s proprietary methodologies.

The ideal candidate brings analytical rigor, relevant investment knowledge, and the ability to learn complex financial concepts quickly. You should be comfortable both prioritizing a product backlog and using SQL to investigate underlying data. Prior knowledge of Morningstar’s products or methodologies is not required.

Responsibilities

Own product priorities and delivery: Manage the tactical roadmap and backlog for managed investment calculations, balancing new capabilities, methodology enhancements, data quality, and platform improvements.
Define business requirements: Partner with product teams, research, operations, and client support to clarify user needs, assess business impact, and establish scope and success criteria.
Translate methodologies into calculation specifications: Work with methodology owners to document formulas, input requirements, eligibility rules, calculation frequency, exceptions, and expected outputs.
Perform detailed data and business analysis: Use SQL and analytical tools to investigate datasets, assess coverage and quality, map data sources, and understand dependencies and downstream impacts.
Prototype and validate calculations: Develop calculation examples and independently verify results, including edge cases, missing data, historical changes, and differences across fund structures and share classes.
Drive execution with engineering and QA: Develop actionable user stories and acceptance criteria, resolve implementation questions, and partner on test scenarios, regression coverage, and release readiness.
Safeguard calculation quality: Investigate discrepancies and production issues, identify root causes, and prioritize fixes based on investor, client, and business impact.
Manage methodology and implementation changes: Evaluate effects on historical results and consuming products, coordinate stakeholder review, and maintain traceability between approved methodologies and production logic.
Build shared understanding: Maintain clear calculation documentation and support materials that help global teams explain analytics and resolve client questions.
Measure outcomes and communicate progress: Track calculation accuracy, timeliness, coverage, and adoption, while communicating priorities, dependencies, and delivery risks.

Required Qualifications

3+ years of experience in product management, business analysis, or data analysis, preferably within investment analytics, financial data, or financial services.
Strong hands-on SQL skills and experience analyzing complex datasets to validate results and investigate issues.
Demonstrated ability to translate ambiguous business needs and financial methodologies into precise requirements, calculation logic, and acceptance criteria.
Understanding of managed investments, including mutual funds, ETFs, share classes, and concepts such as investment performance, risk, fees, and peer group comparisons.
Ability to learn complex financial concepts and methodologies quickly, question assumptions, and apply that understanding to data analysis and calculation requirements.
Experience specifying, prototyping, or validating analytical calculations, with close attention to data dependencies, exceptions, and reproducibility.
Experience prioritizing requirements or managing a backlog and collaborating with engineering and QA teams throughout the development lifecycle.
Excellent critical thinking and problem-solving skills, including the ability to distinguish data issues from methodology or implementation issues.
Strong written and verbal communication skills, with the ability to explain complex analytical concepts to technical and business audiences.
Ability to work independently and collaborate effectively across global teams.
Bachelor’s degree in finance, economics, mathematics, statistics, computer science, engineering, or a related discipline.

Preferred Qualifications

Experience working with investment datasets, financial calculations, or proprietary analytical methodologies.
Python or similar programming skills for data analysis, calculation prototyping, and validation.
Familiarity with centralized calculation services, APIs, data pipelines, and cloud analytical platforms.
Experience with data lineage, reconciliation, and automated calculation quality controls.

Base Salary Compensation Range

$75,600.00-$110,874.00

Incentive Target Percentage

12.5% Annual

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

100_MstarResCanad Morningstar Research, Inc. (Canada) Legal Entity

Apply on morningstar.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

The Product Manager will own the tactical roadmap and backlog for managed investment calculations while partnering with research and engineering teams to translate methodologies into accurate specifications. They are responsible for performing detailed data analysis, validating calculation logic, and ensuring high-quality production outcomes.

Requirements

Candidates must have 3+ years of experience in product management, business analysis, or data analysis, with strong hands-on SQL skills and investment knowledge. A bachelor's degree in a quantitative or financial discipline is required, along with the ability to translate complex financial concepts into precise technical requirements.

Skills

Product management
Business analysis
Data analysis
SQL
Investment analytics
Financial methodologies
Product backlog management
Requirement definition
Calculation validation
Engineering collaboration
Quality assurance
Critical thinking
Problem-solving
Communication skills
Financial services
Data lineage

Benefits

Hybrid work environment
Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Product Manager
SQL
Data Analysis
Business Analysis
Investment Analytics
Managed Investments
Mutual Funds
ETFs
Financial Data
Backlog Management
Product Roadmap
Quality Assurance
Data Lineage
APIs
Cloud Analytical Platforms
Python
Quantitative Research
Investment Methodologies
Share Classes
Data Pipelines
Reconciliation
Financial Services
Acceptance Criteria
User Stories
Performance Metrics
Risk Analysis
Peer Group Comparisons
Analytical Rigor
Technical Documentation
Stakeholder Management

Report this job

Work requirements

Jobs in Canada