AI Product Analyst - Fundamental Equities

Referment

Denver (CO)

On-site

USD 90,000 - 130,000

Full time

6 hours ago
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Job summary

Referment, partnering with a global investment and technology firm, seeks an AI product analyst for a fundamental equities team in Denver. You will work with analysts and portfolio managers to understand research bottlenecks, build practical tools, and improve how ideas are sourced, documents are synthesized, screens are run, and models are maintained.

The role emphasizes prototyping with agentic AI, collaboration across teams, and designing workflows that scale with data and compliance

Qualifications

  • Bachelor’s degree and hands-on prototyping with agentic AI tools.
  • Ability to read, modify, and debug code with APIs and Python.
  • Understanding of fundamental investment research and financial models.
  • Strong product mindset and ability to work independently amid ambiguity.
  • Experience with financial-data platforms or internal automation is a plus.

Responsibilities

  • Map investment-research processes and identify high-friction work.
  • Redesign workflows using agentic AI tools and rapid prototyping.
  • Build and deploy lightweight AI-powered solutions and iterate from feedback.
  • Document successful workflows and share practices to improve AI fluency.
  • Ensure tools respect data licensing, information barriers, and compliance.

Skills

Agentic AI prototyping
Python
APIs & data feeds
Investment research understanding
Product mindset

Education

Bachelor's degree

Tools

Python
APIs

Job description

Referment, partnering with a global investment and technology firm, seeks an AI product analyst for a fundamental equities team in Denver. You will work with analysts and portfolio managers to understand research bottlenecks, build practical tools, and improve how ideas are sourced, documents are synthesized, screens are run, and models are maintained.

The role emphasizes prototyping with agentic AI, collaboration across teams, and designing workflows that scale with data and compliance

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