[Hiring] Asset Management Professionals - AI Residency @Aptura

Role Description

This residency is designed for senior research analysts and portfolio managers who want exposure and a meaningful experience towards the direction of AI in your domain and earn early, practical exposure at using advanced AI systems.

• Develop and iterate realistic prompts: Create prompts to test the relevance and quality of AI-generated insights.
• Compare human vs. machine judgment: Systematically evaluate divergence between professional investment reasoning and AI outputs across equities, fixed income, and multi-asset contexts.
• Design frameworks: Translate how institutional investors evaluate securities, construct portfolios, and manage risk into problems that push the limits of AI reasoning.
• Construct expert benchmarks: Build and validate real-world investment cases, securities analyses, and portfolio management frameworks used to evaluate frontier AI systems.

Why This Experience Is Valuable:

• Hands-on exposure to how AI is reshaping investment workflows, from fundamental research and portfolio construction to client communication and risk attribution.
• You will be among the first institutional investment professionals to work directly on how frontier AI models reason about public markets and portfolio management.

Qualifications

• 4+ years of experience at a major long-only institutional manager (e.g. BlackRock, Vanguard, Fidelity, Capital Group, T. Rowe Price, Wellington, PIMCO, MFS, Neuberger Berman, Jennison, Artisan Partners).
• Senior Research Analyst or Portfolio Manager level.
• Deep expertise in equities, fixed income, or multi-asset portfolio management.
• Experience conducting fundamental analysis, writing investment commentary, and engaging with company management or issuers.
• Familiarity with client reporting, risk attribution, and investment policy constraints.
• Genuine intellectual curiosity about the application of AI in institutional finance.

Requirements

• Commitment: 15+ hours/week, flexible scheduling.
• Location: Remote globally.
• Compensation: Hourly rate depending on experience.
• Start date: Immediate / Rolling.