Underwriting Analyst/Associate

Selby Jennings; New York (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

Selby Jennings is seeking a hands-on underwriting professional in New York to join a high-growth specialty finance platform. You will support diligence, financial analysis, credit underwriting, and closing activities while interacting directly with borrowers, management teams, and third-party providers.

This role requires attention to detail, the ability to manage multiple workstreams, and a proactive approach to improving underwriting processes in a fast-paced environment.

Qualifications

• 3–6+ years of asset-based lending or related analytical roles.
• Strong financial statement analysis and credit fundamentals.
• Experience interacting with borrowers, management teams, sponsors, or external stakeholders.
• Ability to manage multiple transactions simultaneously with high attention to detail.
• Comfortable working in a fast-moving, high-growth environment.
• Familiarity with data tools like SQL or Python is a plus.

Responsibilities

• Support underwriting, diligence, and transaction execution across new lending opportunities.
• Analyze borrower financial statements, collateral, and operating performance.
• Coordinate diligence with borrowers, management teams, legal counsel, and third-party providers.
• Prepare and review closing materials and transaction documentation.
• Track diligence progress, identify risks, and escalate issues.
• Maintain organized deal records and ensure deadlines are met.
• Help improve underwriting processes, reporting, and workflows.

Skills

Financial statement analysis

Credit fundamentals

Multi-transaction management

Interacting with borrowers

Attention to detail

Fast-paced environment

Tools

SQL

Python

Job description

NYC Reports To: Director of Underwriting

About the Company

Our client is a high-growth specialty finance platform that provides working capital and asset-based lending solutions to rapidly scaling businesses across sectors including consumer products, e-commerce, food & beverage, and technology. The firm partners with founders, operators, and investors to deliver flexible financing solutions that support growth and expansion.

The Opportunity

This role sits at the center of the underwriting and deal execution process. The successful candidate will support new transaction diligence, financial analysis, credit underwriting, and closing activities while interacting directly with borrowers, management teams, and third-party providers. The team is looking for a hands‑on, detail-oriented professional who can manage multiple workstreams, identify risks, and thrive in a fast‑paced, entrepreneurial environment.

Key Responsibilities

• Support underwriting, diligence, and transaction execution across new lending opportunities.
• Analyze borrower financial statements, collateral, and operating performance.
• Coordinate diligence with borrowers, management teams, legal counsel, and third-party providers.
• Prepare and review closing materials and transaction documentation.
• Track diligence progress, identify risks, and elevate issues when appropriate.
• Maintain organized deal records and ensure deadlines are met.
• Help improve underwriting processes, reporting, and operational workflows.

Requirements

• 3-6+ years of experience in asset-based lending, private credit, specialty finance, investment banking, restructuring, transaction advisory, or a related analytical role.
• Strong financial statement analysis and credit fundamentals.
• Experience interacting with borrowers, management teams, sponsors, or external stakeholders.
• Ability to manage multiple transactions simultaneously with strong attention to detail.
• Comfortable working in a fast-moving, high-growth environment.

Preferred Experience

• Knowledge of asset-based lending structures and collateral analysis.
• Experience within private credit, direct lending, or specialty finance.
• Strong risk assessment and problem-solving skills.
• Experience improving processes and workflows.
• Familiarity with SQL, Python, or other data tools.