Credit Structuring Developer Jobs

1 job found

2d ago

Quantitative Developer - Securitized Products

Clearwater Analytics, LLC New York, NY 🇺🇸 Remote

New York, NY

2d ago

$156k - $211k/yr Full time Python Capital Markets CMBS

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Job Description

Clearwater Analytics, LLC invites applications for a Quantitative Developer focused on securitized products within the Quant team. The role encompasses building pricing libraries, valuation and risk analytics, and cash flow modeling for ABS, CLO, MBS, and CMBS, progressing from model development to production deployment with client interaction. Collaboration with cross-functional teams will enhance the platform's structured products capabilities. This position is based in New York, NY with remote work options.

Responsibilities

Develop and maintain pricing libraries and analytical models for securitized products including ABS, CLO, MBS, CMBS, and other structured credit instruments
Build, extend, and maintain frameworks within the platform supporting securitized product lifecycle management, including cash flow generation, prepayment modeling, credit enhancement structures, and tranche-level analytics
Implement and maintain risk analytics covering interest rate sensitivities (DV01, duration, convexity), spread risk, scenario analysis, and stress testing across structured product portfolios
Design and develop models for prepayment, default, and loss severity - calibrated to market conventions and client-specific requirements
Identify and advocate for new models and design patterns necessary for the continuous improvement of an evolving infrastructure to support all clients
Produce high-quality documentation targeting both technical and non-technical audiences, supporting and expanding engineering solutions

Requirements

1–3 years of experience in quantitative development with a focus on securitized or structured products
Strong understanding of structured product mechanics - deal structures, waterfall logic, cash flow prioritization, credit enhancement, and tranche-level risk
Familiarity with prepayment models (for example PSA, CPR) and credit risk frameworks applicable to ABS, MBS, CMBS, and CLO structures
Experience developing production-quality code, preferably in Python, with a strong software engineering foundation
Strong problem-solving and communication skills - ability to convey technical topics clearly to both technical and non-technical audiences

Technologies

Python

Benefits

Business casual atmosphere in a flexible working environment
Team-focused culture that promotes innovation and ownership
Access to cutting-edge investment reporting technology and expertise
Defined and undefined career pathways allowing you to grow your own way
Competitive medical, dental, vision, and life insurance benefits
Maternity and paternity leave
Personal Time Off and Volunteer Time Off to give back to the community
RSUs as well as employee stock purchase plan and 401K with match
Work from anywhere 3 weeks out of the year
Work from home Fridays

Location

New York, NY with remote work options

Salary

USD 156,400 - 210,841 per year

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