Portfolio Management Analyst/Associate at Apollo Global Management in El Segundo, CA

  • Company: Apollo Global Management
  • Location: El Segundo, California
  • Salary: $150K – $175K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-07-10

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Job description

Position Overview ABOUT THE FUND Apollo Aligned Alternatives Fund (AAA) is Apollo’s flagship vehicle providing institutional and individual investors with access to private and public market opportunities by investing alongside Apollo’s balance sheet. With a highly diversified “go anywhere” mandate, AAA targets equity-like returns with relatively lower volatility and currently manages $28 billion in net asset value, one of the largest funds of its kind in the market. AAA expands on an alternatives strategy that Apollo and Athene have executed successfully for over a decade, spanning private credit, equity, real assets, and opportunistic investments across the capital structure. THE ROLE The AAA team is dynamic and centrally positioned within Apollo’s broader organization. This role sits at the heart of that work, with direct exposure to senior leadership and the Investment Committee from day one. As the portfolio scales, so do the analytical demands on the team. This role is designed to meet that by pairing knowledge of investment fundamentals with fluency in modern AI tools and using them to work faster and sharpen the team’s output. Day-to-day, you’ll work across quantitative analysis, portfolio management, and strategic initiatives, often in the same week. The work spans building risk management tools, synthesizing data to form investment theses, and preparing materials that inform how the fund is positioned and performing, with AI woven into how the work gets done. WHAT YOU’LL DO Core responsibilities: Help build and improve AI-assisted workflows and processes that support portfolio management, risk analysis, and investment research across the team Support top-down fund-level portfolio construction, including asset allocation analysis, factor modeling, portfolio optimization, and investment cash flow modeling Conduct performance attribution and risk analysis across the portfolio Develop and maintain quantitative tools and models in Excel and Python to support portfolio management and risk monitoring Synthesize information across investments and underlying funds to inform portfolio-level views You’ll also: Identify analytical bottlenecks and build AI-native solutions, such as document-extraction pipelines, monitoring alerts, and reusable workflows that the broader team can adopt Interface with the Investment Committee and senior management to communicate exposures and develop investment theses Partner with various asset management and deal teams at Apollo on investment implementation Translate complex quantitative analysis into clear, actionable insights for senior leadership and external stakeholders Support investor materials and client meetings, IC presentations, and strategic initiatives as they arise WHO WE’RE LOOKING FOR This role is well-suited for someone who thinks like an investor, works like an analyst, and reaches for AI tools by default — comfortable building quantitative frameworks and equally comfortable using them to form a view. Backgrounds we’ve found succeed here include: AI-forward investment or analytical roles: hands-on use of modern AI tools to accelerate research, monitoring, or reporting Portfolio management, risk, or quant research: experience with factor models, performance attribution, or risk analytics Fixed income or macro/asset allocation: comfort working across asset classes with a top-down lens Qualifications & Experience 1–4 years of relevant professional experience in an investing or analytical role. Candidates from both finance and technology backgrounds are welcome. Hands-on, daily fluency with modern AI tools: active use of LLMs (e.g., Claude, ChatGPT), document-intelligence platforms, and/or agentic workflows — conceptual familiarity is not sufficient Bachelor’s degree in finance, economics, mathematics, statistics, engineering, computer science, or a related field Experience with financial modeling, portfolio management, and risk analytics Excel proficiency required; Python, SQL, or s

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