Portfolio Engineer

Fidelity Canada; Toronto; Hybrid; CAD 123,000 - 140,000; Full time

Job summary

Fidelity Canada is seeking a Portfolio Engineer to build scalable portfolio construction and monitoring tools in a hybrid Toronto/Mississauga setting. You will collaborate with portfolio management, risk, compliance, and technology teams to enhance risk reporting, data quality, and customization using advanced analytics.

Ideal candidates bring 5+ years in portfolio analytics, strong Python/R and SQL skills, and experience in investment technology.

Qualifications

• University degree in finance, economics, CS, math, statistics or equivalent experience.
• 5+ years in portfolio analytics/portfolio engineering, risk analytics, or related investment tech.
• Demonstrated programming experience (Python/R) and SQL in production.
• Experience building/maintaining portfolio analytics or construction workflows.

Responsibilities

• Contributes to building scalable portfolio construction and rebalance tools.
• Internally scope the systems, data and infrastructure required for systematic construction.
• Map data dependencies to the portfolio construction process.
• Partner with internal resources to build a center of excellence around portfolio construction.
• Develop first generation tools to implement systematic portfolio construction.
• Maintain investment monitoring and risk reporting data pipelines.
• Apply advanced statistical analysis to enhance risk modelling and customization.
• Collaborate across teams to implement controlled workflows aligned with governance.
• Improve process efficiency through automation, standardization, and documentation.

Skills

Python

R

SQL

Statistical analysis

Education

University degree in finance, economics, computer science, math, statistics

CFA Level 1

Tools

PowerBI

Snowflake

Tableau

Data workflows

Job description

Job Description

Current work authorization for Canada is required for all openings.

• Current work authorization for Canada is required for all openings.
• This is a full-time regular role.
• You will be working on a flexible hybrid schedule as part of Fidelity's dynamic working arrangement.

The work location for this role is 483 Bay Street in Toronto until approximately late 2026, when the work location will change to the new Mississauga office at 3 Robert Speck Parkway.

Portfolio Engineer

Company Overview

At Fidelity, we've been helping Canadian investors build better financial futures for over 35 years. We offer individuals and institutions a range of trusted investment portfolios and services - and we're constantly seeking to find new and better ways to help our clients. As a privately owned company, we boldly embrace innovation in all areas as we continue to grow our business into the future.

Working with us means you'll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You'll have a wide range of opportunities to grow and develop your career in an inclusive environment where you'll feel valued and supported to be your best - both personally and professionally.

The Opportunity

Fidelity Investment Canada (FIC) Managed Accounts is building a technology-enabled discretionary investment management platform to scale portfolio construction, monitoring, and reporting.

The Managed Accounts Portfolio Engineer ("the engineer") will be responsible for delivering repeatable portfolio construction and oversight capabilities. They will do this by building and maintaining analytics, tools, and data workflows that support investment decision-making and operational execution. The role partners closely with portfolio management, risk, compliance, operations, and technology teams to enhance risk reporting, improve data quality, and enable portfolio customization through advanced statistical analysis.

What You'll Do

• Contributes to building scalable portfolio construction and rebalance tools that support managed account solutions and personalized investing needs.
• Internally scope the systems, data and infrastructure required to aid in systematic portfolio construction
• Map data dependencies and inputs to the portfolio construction process.
• Partner with internal resources to ensure consistency and build towards a center of excellence around portfolio construction.
• Develop first generation tools to implement systematic portfolio construction
• Develop and maintain investment monitoring and risk reporting (including data pipelines) that are accurate, repeatable, and decision useful.
• Apply advanced statistical analysis to enhance risk modelling and portfolio customization capabilities using large datasets.
• Partner across technology, product, operations, and compliance to implement controlled workflows that align to platform strategy and governance expectations.
• Improve investment process efficiency through automation, standardization, and documentation across portfolio engineering workflows.

What We’re Looking For

• University degree in finance, economics, computer science, mathematics, statistics, or equivalent experience
• 5+ years in portfolio analytics/portfolio engineering, risk analytics, investment technology, or a related investment management function.
• Demonstrated programming experience (e.g., Python/R) and query/data manipulation skills (e.g., SQL) used in production or near-production processes.
• Experience building or maintaining portfolio analytics and/or portfolio construction workflows in an investment context or similar.
• Experience producing monitoring and/or risk reporting tools (preferably in a wealth management context) with documented data quality and control practices
• CFA Level 1 or programmatic degree

Nice to haves:

• Demonstrated knowledge of AI/ML technologies, natural language processing and emerging trends.
• Experience with enterprise reporting applications (e.g. PowerBI, Snowflake, Tableau)
• Working knowledge of multi-asset products and market dynamics sufficient to support portfolio oversight decisions.
• Experience supporting discretionary managed account platforms and scalable advisor-facing tooling.
• Exposure to personalization features such as tax optimization and/or direct indexing in a managed solutions context.
• Experience with portfolio/market data platforms (e.g., portfolio management systems, risk platforms, and market data terminals)
• Graduate degree in a quantitative discipline (e.g., finance, analytics, statistics, computer science, AI).
• Formal coursework or applied training in investment analytics, econometrics, artificial intelligence or data engineering.

What You’ll Bring

• Quantitative/statistical analysis applied to investment datasets (e.g., time series, factor/risk analytics, scenario analysis).
• Strong programming and data skills (e.g., Python/R and SQL) with ability to build reliable analytics pipelines and reusable tooling
• Data management fundamentals (lineage, quality controls, reconciliation, documentation) supporting production reporting and monitoring.
• Portfolio construction, rebalancing principles, and portfolio oversight concepts for multi-asset solutions.
• Working knowledge of investment operations and controls (trade modelling impacts, monitoring outputs, and governance expectations).
• Experience with AI/ML technologies, natural language processing and emerging trends in data science field.

Total Rewards That Reflect Your Impact

We believe exceptional work deserves exceptional recognition. That's why we offer a competitive compensation package designed to support your success today and your financial well-being tomorrow.

• Base Salary and Discretionary Performance Bonus: A competitive annual range of$123,000-$140,000, based on your experience and qualifications.
• RRSP Contribution: After 6 months of employment, we invest in your future with anRRSP contribution - no employee matching required.

We're proud to offer a compensation package that aligns with provincial pay transparency requirements.

This posting represents an existing vacancy within our organization- an opportunity to step into a role where your talents will make a meaningful difference.

Fidelity Canada is an equal opportunity employer

Fidelity Canada is committed to fostering a diverse and inclusive workplace. We will consider all qualified applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, family status, protected veterans' status, Aboriginal/Native American status or any other legally-protected ground.

Accommodation during the application process

Fidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in the selection process. If you require an accommodation, please email us at [e-mail].

Why Work at Fidelity?

Awards

• Canada's Top 100 Employers
  • Greater Toronto's Top Employers
  • Canada's Top Family-Friendly Employers
  • Canada's Top Employers for Young People
• Great Place To Work® Certified
  • Best Workplaces for Inclusion
  • Best Workplaces for Mental Wellness
  • Best Workplaces for Today's Youth
  • Best Workplaces for Women
  • Best Workplaces in Financial Services & Insurance
  • Best Workplaces in Ontario
  • Best Workplaces with Most Trusted Executive Teams
• LinkedIn Top Companies in Canada
• Human Resource Director (HRD) - Best Place To Work
  • HRD - 5-Star Benefit Program
  • HRD - 5-Star Diversity & Inclusion Employer

Designations

• Canadian Compassionate Companies - Certified
• Benefits Canada's Workplace Benefits Award - Future of Work Strategy
• TalentEgg National Recruitment Excellence Award - Special Award for Diversity & Inclusion in Recruiting