Quantitative Associate, Public Finance & Infrastructure

Piper Sandler Ltd.; Denver (CO); On-site; USD 85,000 - 115,000; Full time

Job summary

Piper Sandler in Denver, CO seeks a Quantitative Associate for the Special District Group to build complex financial models and debt structures for public infrastructure projects. This full-time, in-person role supports senior bankers and delivers data-driven insights for deal origination through execution.

The ideal candidate has 2+ years in real estate investment or municipal bond analysis, strong cash-flow modeling, and proficiency in Excel and MS Office, with an interest in AI-enabled

Qualifications

• Bachelor’s degree required; Master’s degree preferred.
• 2+ years of relevant experience in 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 leveraging AI to enhance modeling workflows.

Responsibilities

• Develop, refine, and stress-test financial models for real estate-based public finance transactions.
• Provide high-level numerical analysis and debt service modeling for deal execution.
• Conceptualize new modeling methodologies and automation to improve efficiency.
• Collaborate with senior bankers to translate client objectives into viable structures.
• Navigate multiple transaction timelines ensuring timely quantitative deliverables.
• Contribute to evolution of quantitative systems and Excel automation.
• Mentor junior team members and share technical expertise.
• Uphold the SDG values and foster a collaborative culture.

Skills

Financial modeling

Excel proficiency

Data analysis

Debt service modeling

AI/Automation interest

Education

Bachelor's degree

Master's degree preferred

Tools

DBC Finance

AI tooling

Job description

Piper Sandler in Denver, CO seeks a Quantitative Associate for the Special District Group to build complex financial models and debt structures for public infrastructure projects. This full-time, in-person role supports senior bankers and delivers data-driven insights for deal origination through execution.

The ideal candidate has 2+ years in real estate investment or municipal bond analysis, strong cash-flow modeling, and proficiency in Excel and MS Office, with an interest in AI-enabled