Portfolio Engineer (Investment Analytics)

Location: Flexible hybrid schedule in Toronto at 483 Bay Street, moving to the Mississauga office at 3 Robert Speck Parkway in approximately late 2026. Current work authorization for Canada is required.

Salary: CAD 123,000–140,000 annual base salary, plus a discretionary performance bonus.

Company

hirify.global provides investment portfolios and services for Canadian individual and institutional investors.

What you will do

• Build scalable portfolio construction and rebalancing tools for managed account solutions and personalized investing.
• Scope systems, infrastructure, data inputs, and dependencies required for systematic portfolio construction.
• Develop and maintain investment monitoring, risk reporting, and accurate, repeatable data pipelines.
• Apply advanced statistical analysis to risk modelling and portfolio customization using large datasets.
• Partner with portfolio management, risk, compliance, operations, technology, and product teams to implement governed workflows.
• Improve portfolio engineering efficiency through automation, standardization, documentation, and reusable tooling.

Requirements

• University degree in finance, economics, computer science, mathematics, statistics, or equivalent experience.
• 5+ years of experience in portfolio analytics, portfolio engineering, risk analytics, investment technology, or a related investment management function.
• Production or near-production programming experience with Python or R and data manipulation using SQL.
• Experience building portfolio analytics, portfolio construction workflows, monitoring tools, or risk reporting in an investment context.
• Knowledge of quantitative and statistical analysis, portfolio construction, rebalancing, multi-asset solutions, investment operations, and data quality controls.
• Current Canadian work authorization is required.

Nice to have

• Knowledge of AI/ML technologies, natural language processing, and emerging data science trends.
• Experience with Power BI, Snowflake, Tableau, portfolio management systems, risk platforms, or market data terminals.
• Experience with discretionary managed accounts, advisor-facing tooling, tax optimization, or direct indexing.
• CFA Level 1, a graduate degree, or formal training in investment analytics, econometrics, artificial intelligence, or data engineering.

Culture & Benefits

• Full-time regular employment with a flexible hybrid working arrangement.
• Annual base salary and discretionary performance bonus.
• RRSP contribution after six months of employment, with no employee matching required.
• Inclusive workplace with accommodation available during the application process.