Public Finance Quantitative Associate — Denver

Piper Sandler & Co.; Denver (CO); On-site; USD 90,000 - 120,000; Full time

Job summary

Piper Sandler in Denver, Colorado, seeks a Quantitative Associate to join the Special District Group. You will develop and stress-test financial models for public infrastructure projects, collaborating with senior bankers to structure complex transactions and drive data-driven insights.

The ideal candidate has 2+ years of experience in finance, advanced cash flow modeling, and a strong command of Excel; a Master’s degree is preferred and a passion for AI-driven automation is valued.

Qualifications

• Bachelor's degree required; Master's degree preferred.
• 2+ years of real estate investment, underwriting, investment banking, or municipal bond analysis.
• Advanced proficiency in cash flow modeling and Excel.
• Proficiency in MS Office and database management; interest in AI tools.
• Ability to distill complex financial data into actionable insights.

Responsibilities

• Develop, refine, and stress-test sophisticated financial models for public finance.
• Provide debt service modeling and high-level numerical analysis.
• Translate client objectives into viable financial structures with senior bankers.
• Lead quantitative system improvements, including Excel automation.
• Mentor junior team members and collaborate across the SDG group.

Skills

Cash flow modeling

Excel

MS Office

Database management

AI tools & automation

Education

Bachelor's degree

Master's degree preferred

Tools

Excel (Advanced)

DBC Finance

Job description

Piper Sandler in Denver, Colorado, seeks a Quantitative Associate to join the Special District Group. You will develop and stress-test financial models for public infrastructure projects, collaborating with senior bankers to structure complex transactions and drive data-driven insights.

The ideal candidate has 2+ years of experience in finance, advanced cash flow modeling, and a strong command of Excel; a Master’s degree is preferred and a passion for AI-driven automation is valued.