Underwriter - Pricer - MCA

Craft

  • Jersey City, NJ
  • 30+ days ago
  • $80,000–$100,000 Per Year

Highlights

You will handle a high volume of top-of-funnel submissions, translating raw bank statements and credit data into competitive factor rates and deal terms with speed and autonomy. Analyze cash flow trends, bank statements, credit reports, and public records to identify financial inconsistencies and fraud indicators.

Numbers & Facts

LocationJersey City, NJ
Salary$80,000–$100,000 Per Year

Description

Compensation: $80,000 to $100,000 base salary plus incentive structure

Position Overview

We are seeking a high-velocity MCA Underwriter and Pricer to join an aggressive, direct lending floor. This role is built for an analytical producer who excels at upfront scrubbing and real-time deal structuring. You will handle a high volume of top-of-funnel submissions, translating raw bank statements and credit data into competitive factor rates and deal terms with speed and autonomy.

Key Responsibilities

Evaluate 50 to 100 merchant cash advance submissions daily to rapidly triage viable funding opportunities.

Take primary ownership of deal structuring, calculation of factor rates, and setting terms according to internal risk guidelines.

Analyze cash flow trends, bank statements, credit reports, and public records to identify financial inconsistencies and fraud indicators.

Maintain direct, fast-paced communication with ISO partners to deliver and negotiate deal terms effectively.

Perform essential due diligence and background checks to prepare files for final deployment.

Qualifications

2 or more years of core underwriting experience within a fast-paced merchant cash advance funding floor.

Demonstrated tracking record of independent pricing and deal sizing, rather than relying solely on automated matrix systems.

Exceptional speed and accuracy in scrubbing high-volume files with an emphasis on manual financial analysis.

Strong communication instincts calibrated for a high-intensity, sales-driven floor environment.

Background in mathematics, statistics, or a highly analytical business discipline is preferred.

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