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 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
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
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
Support investor materials and client meetings, IC presentations, and strategic initiatives as they arise
WHO WE’RE LOOKING FOR
Fixed income or macro/asset allocation: comfort working across asset classes with a top-down lens
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
Excel proficiency required; Python, SQL, or scripting experience a plus. Intellectual horsepower, ability to learn quickly, and willingness to grow technically matter more than current tooling
The contents of the qualifications and experience section of this job description are a guideline only. If an applicant can otherwise demonstrate their suitability for the role they will be considered.
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