Investment Analyst

Support a senior investment team at a leading AI research organization by organizing portfolio data, producing performance and risk analyses, preparing charts and supporting materials, and ensuring all analytical outputs are accurate, clearly sourced, and ready for senior review.

• Clean, organize, and reconcile holdings data across public and private investments.
• Gather and validate market data, company information, benchmark data, and other financial inputs.
• Calculate performance metrics, risk measures, asset-class exposures, and benchmark-relative results.
• Support private-company valuation work and other financial modeling tasks.
• Produce clear tables, charts, and exhibits for inclusion in investment presentations.
• Maintain a comprehensive source log documenting data origins, assumptions, and calculation methodologies.
• Assist with portfolio analysis, holdings reviews, and market research.
• Help prepare simplified trade instructions and post-trade documentation.
• Perform quality-control checks across models, calculations, charts, and presentation materials.
• Respond quickly to reviewer feedback and update analytical outputs as required.

• Approximately 3 to 4 years of professional investment experience.
• Experience spanning both investment banking and buy-side investing.
• Buy-side background in Private Equity or a Hedge Fund, with Hedge Fund experience preferred.
• Strong Excel skills and experience working with financial models, market-data exports, and large datasets.
• Solid understanding of financial statements, valuation, portfolio-performance analysis, and investment research.
• Experience producing charts, tables, source logs, and senior-level presentation materials.
• Comfortable performing detailed and repetitive analytical work with a high degree of accuracy.
• Strong organizational skills and the ability to maintain clear documentation of data, sources, and assumptions.
• Excellent written communication and attention to detail.
• Comfortable working under senior review and revising work based on structured feedback.
• Prior experience with financial screening exercises, AI evaluation, or human-data projects is a plus.

• Location: Remote, candidates must be based in the United Kingdom.
• Engagement type: paid hourly.

• 150 - 150 hourly.

• Applicants must be located in the UK and able to work remotely.

• Submit your resume or a summary of relevant professional background to begin the application.
• Complete a financial modelling assessment as part of the selection process.