Portfolio Management Analyst/Associate

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 scripting experience a plus. Intellectual horsepower, ability to learn quickly, and willingness to grow technically matter more than current tooling
• A clear communicator who can translate quantitative complexity into actionable insight
• Collaborative and proactive, with strong attention to detail and the ability to manage competing priorities in a fast-paced environment

Pay Range

$150,000–$175,000

Apollo Global Management, Inc. (together with its subsidiaries and affiliates) is committed to championing opportunity.

The firm and its affiliates comply with applicable discrimination and equal opportunities legislation in all of its jurisdictions and do not discriminate in employment or recruitment based on race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or any other protected characteristic under applicable law.

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.

The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed here.