{bc}
indeed

Portfolio Engineer

Fidelity Canada
Toronto, CAN
Full-time
Hybrid
$123,000 to $140,000
Discovered 1 weeks ago
Portfolio constructionPortfolio rebalancingPortfolio analyticsRisk analytics and modellingPythonR
Free

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Key skills for this role

Portfolio constructionPortfolio rebalancingPortfolio analytics
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Work arrangement

  • This is a full-time regular role.
  • The position follows a flexible hybrid schedule.
  • The work location is 483 Bay Street in Toronto until approximately late 2026, then the new Mississauga office at 3 Robert Speck Parkway.

Opportunity

Fidelity Investment Canada Managed Accounts is building a technology-enabled discretionary investment management platform.

The Portfolio Engineer will deliver repeatable portfolio construction and oversight capabilities.

The role builds analytics, tools, and data workflows supporting investment decisions and operational execution.

Portfolio engineering

  • Build scalable portfolio construction and rebalance tools for managed account solutions and personalized investing needs.
  • Scope systems, data, and infrastructure and map dependencies for systematic portfolio construction.
  • Develop first-generation tools and partner with internal resources to establish consistent portfolio construction capabilities.

Analytics and reporting

  • Develop and maintain investment monitoring and risk reporting with accurate, repeatable, decision-useful data pipelines.
  • Apply advanced statistical analysis to risk modelling and portfolio customization using large datasets.
  • Improve investment process efficiency through automation, standardization, and documentation.

Cross-functional delivery

  • Partner with portfolio management, risk, compliance, operations, product, and technology teams.
  • Implement controlled workflows aligned with platform strategy and governance expectations.

Required qualifications

  • A relevant university degree or equivalent experience is required.
  • At least five years of relevant portfolio analytics, portfolio engineering, risk analytics, investment technology, or investment management experience is required.
  • Production or near-production programming and SQL experience is required.
  • Experience with portfolio analytics or construction workflows and monitoring or risk reporting tools is required.

Technical and investment knowledge

  • Quantitative analysis, programming, data pipelines, data quality controls, portfolio construction, rebalancing, and investment operations knowledge are required.
  • Knowledge of AI, machine learning, natural language processing, and emerging data science trends is preferred.
  • Enterprise reporting tools, multi-asset products, managed accounts, personalization features, and portfolio data platforms are preferred.

Compensation

  • The competitive annual base salary range is $123,000 to $140,000 based on experience and qualifications.
  • The compensation package includes a discretionary performance bonus and RRSP contributions after six months of employment.

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