Director, ABS Cash Flow Modeling | Hybrid NY

KBRA; New York (NY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work schedule

Competitive benefits and paid time off

Paid family and disability leave

401(k) plan with employer match

Educational and professional dev. help

Employee referral bonus program

Job summary

KBRA (Kroll Bond Rating Agency) seeks an experienced ABS Cash Flow Modeler - Director in New York to lead end-to-end cash flow modeling for Consumer ABS transactions, including auto, unsecured, home improvement, credit card, and student loan assets. The role focuses on implementing, validating, and enhancing models using Intex DealMaker and proprietary tools.

The incumbent will coordinate with analytical and quantitative teams, establish modeling standards, and communicate findings clearly.

Qualifications

• 10+ years of ABS experience across multiple subsectors.
• Experience modeling complex or nonstandard ABS structures.
• Proficient with Intex DealMaker and internal modeling tools.
• Advanced Excel modeling skills.
• Excellent analytical and communication abilities.

Responsibilities

• Develop, implement, and maintain cash flow models for KBRA-rated ABS.
• Lead modeling on various transaction structures.
• Translate documents into model requirements and test results.
• Collaborate with teams to validate models and resolve issues.
• Establish cash flow modeling standards and documentation.

Skills

ABS experience

Cash flow modeling

Excel modeling

Strong communication

Generative AI familiarity

Tools

Intex DealMaker

Proprietary modeling tools

Job description

KBRA (Kroll Bond Rating Agency) seeks an experienced ABS Cash Flow Modeler - Director in New York to lead end-to-end cash flow modeling for Consumer ABS transactions, including auto, unsecured, home improvement, credit card, and student loan assets. The role focuses on implementing, validating, and enhancing models using Intex DealMaker and proprietary tools.

The incumbent will coordinate with analytical and quantitative teams, establish modeling standards, and communicate findings clearly.