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This job expired on 30/08/2026. It no longer accepts applications.
Portfolio Manager – Freelance AI Trainer
Mindrift
Job description
About the role
Mindrift is seeking experienced finance professionals to join short‑term, project‑based assignments that support AI testing and evaluation for leading tech companies. As a Freelance Portfolio Manager, you will design and document test cases that simulate real‑world investment scenarios.
Key responsibilities
- Design and evaluate Quarterly Business Review scenarios, comparing performance against benchmarks and allocation drift limits.
- Create rebalancing and tax‑loss harvesting test cases, handling cost basis, capital‑gain classifications, and wash‑sale rule applications.
- Develop suitability check cases that assess risk tolerance, time horizon, prohibited holdings, and concentration limits against client Investment Policy Statements.
- Construct fee‑stack analysis cases, calculating portfolio‑weighted expense ratios, advisory fees, and total cost comparisons to benchmarks.
- Document all test cases with verified calculations, policy citations, and correct answers.
Required profile
- Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or related field.
- Minimum 2 years of experience in finance, investment, accounting, or financial services.
- Current or recent experience in advisory, portfolio management, or related roles.
- Practical knowledge of portfolio performance analysis, tax‑lot accounting, wash‑sale rules, and Investment Policy Statement literacy.
- Professional credentials such as CFA, CFP, CPWA, CIMA, or CIPM are a strong plus.
- Strong written English (C1+).
Required skills
- Portfolio performance analysis
- Tax‑lot accounting
- Wash‑sale rule application
- Investment Policy Statement interpretation
What we offer
- Flexible, remote work with an estimated 10‑20 hours per week during active phases.
- Compensation up to $50 per hour, based on expertise and contribution speed.
- Opportunity to work on cutting‑edge AI evaluation projects for top tech firms.
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