Fundamental Equities – AI Product Analyst (Denver) (D328271)

Referment; Denver (CO); Presencial; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Referment is partnering with a global investment and technology firm in Denver to identify an AI product analyst for a fundamental equities team. You will work closely with analysts and portfolio managers to uncover bottlenecks, prototype AI-powered tools, and integrate new workflows that enhance research efficiency.

The role emphasizes building practical, compliant solutions, maintaining models, and sharing best practices to improve AI fluency within a data‑driven investment process.

Formación

• A bachelor’s degree and hands‑on experience building functional prototypes with agentic AI tools.
• Ability to read, modify, and debug code, with comfort using APIs, data feeds, and Python.
• Understanding of fundamental investment research, including financial models, thesis development, and monitoring.
• A strong product mindset and ability to operate independently amid ambiguity.
• Experience with financial-data platforms or internal automation is useful.

Responsabilidades

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

Conocimientos

Product mindset

Independent work

Communication

Educación

Bachelor's degree

Herramientas

Python

APIs

Descripción del empleo

Referment is working with a global investment and technology firm to find an AI product analyst for a fundamental equities team in Denver.

The team conducts data-led research across public and private companies and is integrating agentic AI into core analyst workflows. You will work directly 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

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

What We're Looking For

• A bachelor’s degree and hands‑on experience building functional prototypes with agentic AI tools.
• Ability to read, modify, and debug code, with comfort using APIs, data feeds, and Python.
• Understanding of fundamental investment research, including financial models, thesis development, and monitoring.
• A strong product mindset and ability to operate independently amid ambiguity.
• Experience with financial-data platforms or internal automation is useful.

This could suit an investment analyst with strong AI‑building skills, or a product‑minded technologist who understands fundamental research workflows.

#Referment