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AlignerrVerified Job Source

Investment Strategy Analyst

Evaluate and improve AI-generated financial content by analyzing company performance drivers and strategic positioning. Compare narrative commentary against quantitative signals to ensure accurate reasoning and professional investment insights.

  • Remote
  • Toronto, Ontario, Canada
  • Posted Aug 18, 2026
  • Apply by Sep 17, 2026
  • 1 position

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Job summary

Investment Strategy Analyst (AI Training) About The Role What if your expertise in financial analysis and investment strategy could directly shape how AI understands markets, companies, and economic dynamics? We're looking for Investment Strategy Analysts to evaluate and improve AI-generated financial content — ensuring it reflects sound reasoning, accurate analysis, and genuine strategic insight. This is a fully remote, flexible contract role built for finance professionals who want to put their skills to work on something new and impactful. No AI background needed — just sharp analytical thinking and a strong command of investment research and strategy. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: Flexible, project-based What You'll Do Analyze AI-generated assessments of company performance drivers, financial statements, and strategic positioning Evaluate the quality of competitive analysis and macro trend interpretation produced by AI systems Compare narrative commentary against quantitative signals and flag inconsistencies or gaps in reasoning Summarize investment opportunities, risks, and scenario analyses with structured, professional feedback Deliver clear, well-organized insights aligned to project-specific evaluation frameworks Work independently and asynchronously — fully on your own schedule Who You Are Background in investment research, corporate strategy, consulting, or finance Strong analytical reasoning with the ability to assess both quantitative and qualitative signals Clear, concise written communicator who can translate complex financial dynamics into structured insights Comfortable evaluating competitive positioning, market conditions, and financial fundamentals Detail-oriented and self-motivated when working independently No prior AI experience required Nice to Have Experience with valuation methodologies — DCF, comparable company analysis, or sector-specific frameworks Familiarity with specific sectors such as technology, healthcare, energy, or financials Background in equity research, private equity, venture capital, or management consulting CFA designation or equivalent financial credentials Why Join Us Work on cutting-edge AI projects alongside leading research labs and investment-focused organizations Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, project-based work Apply your finance expertise in a new and intellectually stimulating context Potential for ongoing work and contract extension as new projects launch

What you’ll do

Evaluate and improve AI-generated financial content by analyzing company performance drivers and strategic positioning. Compare narrative commentary against quantitative signals to ensure accurate reasoning and professional investment insights.

Requirements

Requires a background in investment research, corporate strategy, or finance with strong analytical reasoning and written communication skills. Prior AI experience is not required, but a CFA designation or experience in equity research is preferred.

Listed skills

  • Financial analysisPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Investment Research
  • Corporate Strategy
  • Financial Analysis
  • Competitive Analysis
  • Macro Trend Interpretation
  • Valuation Methodologies
  • DCF
  • Comparable Company Analysis
  • Equity Research
  • Private Equity
  • Venture Capital
  • Management Consulting
  • Quantitative Analysis
  • Qualitative Analysis
  • Financial Modeling
  • Strategic Positioning

Job areas

  • Finance & Accounting
  • Consulting
  • Data & Analytics
  • Technology
  • Science & Research

Additional details

Minimum education
Professional degree
Minimum experience
2+ years
Apply by
Sep 17, 2026
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Toronto, Ontario, Canada
Seniority
Entry level