Product Manager (Investment Analytics)

Location: Toronto, Canada; hybrid work with four days in-office each week in most locations.

Base salary: $77,867.00–$114,193.00; incentive target: 12.5% annually.

Company

hirify.global’s Analytics group develops proprietary methodologies, calculations, and analytical capabilities that help investors evaluate investments and make informed decisions.

What you will do

• Own the tactical roadmap and backlog for managed investment calculations, balancing new capabilities, methodology enhancements, data quality, and platform improvements.
• Translate investment methodologies and business needs into formulas, input requirements, eligibility rules, calculation frequencies, exceptions, outputs, user stories, and acceptance criteria.
• Use SQL and analytical tools to investigate complex datasets, assess coverage and quality, map dependencies, and identify downstream impacts.
• Prototype and independently validate calculations across edge cases, missing data, historical changes, fund structures, and share classes.
• Partner with engineering and QA on implementation questions, test scenarios, regression coverage, release readiness, and production issue resolution.
• Track accuracy, timeliness, coverage, and adoption while maintaining traceability, documentation, and stakeholder communication.

Requirements

• 3+ years of experience in product management, business analysis, or data analysis, preferably in investment analytics, financial data, or financial services.
• Strong hands-on SQL skills and experience analyzing complex datasets to validate results and investigate issues.
• 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, investment performance, risk, fees, and peer group comparisons.
• Ability to learn complex financial concepts and methodologies quickly, question assumptions, and apply them to data analysis and calculation requirements.
• Experience specifying, prototyping, or validating analytical calculations with attention to data dependencies, exceptions, and reproducibility.
• Experience prioritizing requirements or managing a backlog and collaborating with engineering and QA throughout the development lifecycle.
• Critical thinking and problem-solving skills, including distinguishing data issues from methodology or implementation issues.
• Strong written and verbal communication skills for explaining complex analytical concepts to technical and business audiences; ability to work independently and across global teams.
• Bachelor’s degree in finance, economics, mathematics, statistics, computer science, engineering, or a related discipline.

Nice to have

• Experience 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.

Culture & Benefits

• Hybrid work model designed for regular in-person collaboration, with four days in-office each week in most locations.
• Tools and resources support meaningful collaboration with global colleagues.
• Additional benefits are available to enhance flexibility as needs change.