Quantitative Developer - Securitized Products

Clearwater Analytics, LLC; New York (NY); Hybrid; USD 156,400 - 210,841; Full time

Benefits offered by this job

Flexible work options

Team-focused culture

Cutting-edge technology

Medical/dental/vision/life insurance

Maternity/Paternity leave

RSUs and 401(k) with match

Work-from-anywhere + 3 in-office days

Job summary

Clearwater Analytics in New York is seeking a Quantitative Developer for Securitized Products to expand pricing libraries and risk analytics across ABS, CLO, MBS, CMBS. You will work with cross-functional teams to deliver valuation accuracy from model development to production deployment.

The role emphasizes strong Python coding, production quality, and ability to translate complex cash-flow structures into robust models, with collaboration across clients and internal stakeholders.

Qualifications

• 1–3 years of quantitative development experience with a focus on securitized or structured products.
• Strong understanding of structured product mechanics (deal structures, waterfall logic, cash-flow prioritization, credit enhancement, tranche-level risk).
• Familiarity with prepayment models (PSA, CPR) and credit risk frameworks for ABS, MBS, CMBS, and CLO.
• Experience developing production-quality code, preferably in Python, with strong software-engineering fundamentals.

Responsibilities

• Develop and maintain pricing libraries and analytical models for securitized products.
• Build, extend, and maintain frameworks for lifecycle management, including cash flow generation, prepayment modeling, credit enhancement structures, and tranche-level analytics.
• Implement risk analytics covering interest-rate sensitivities (DV01, duration, convexity), spread risk, scenario analysis, and stress testing across structured product portfolios.
• Design and develop prepayment, default, and loss severity models calibrated to market conventions and client requirements.
• Advocate for new models and design patterns, and produce high-quality documentation for technical and non-technical audiences.

Skills

Quantitative development

Python programming

Structured products knowledge

Communication skills

Tools

Bloomberg data

Intex data

Trepp data

MSCI data

Job description

Quantitative Developer - Securitized Products Clearwater Analytics | Location : NY

Clearwater Analytics is the leading SaaS platform for investment accounting, risk, and performance, serving large insurance companies, hedge funds, asset managers, and institutional investors. It delivers decision‑ready risk analytics for multi‑asset portfolios, highlighting exposures, sensitivities, scenarios, and performance drivers.

Role

As a Quantitative Developer for Securitized Products, you will enhance and expand structured product coverage across ABS, CLO, MBS, CMBS, and related asset classes. You will collaborate with cross‑functional development teams and client stakeholders to deliver solutions focused on valuation accuracy, risk analytics, and cash flow modeling, driving continuous improvement from model development through production deployment.

What You’ll Do

• Develop and maintain pricing libraries and analytical models for securitized products.
• Build, extend, and maintain frameworks for lifecycle management, including cash flow generation, prepayment modeling, credit enhancement structures, and tranche‑level analytics.
• Implement risk analytics covering interest‑rate sensitivities (DV01, duration, convexity), spread risk, scenario analysis, and stress testing across structured product portfolios.
• Design and develop prepayment, default, and loss severity models calibrated to market conventions and client requirements.
• Advocate for new models and design patterns, and produce high‑quality documentation for technical and non‑technical audiences.

What We’re Looking For

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

What Will Make You Stand Out

• Front‑office or structured‑products development experience in valuation, risk analytics, or portfolio analytics.
• Hands‑on experience building or maintaining pricing and risk systems in production.
• Familiarity with market data sources (Bloomberg, Intex, Trepp, MSCI, or similar) and structured‑product reference data.
• Experience with interest‑rate modeling (Hull‑White, short‑rate models) applied to valuation.
• Direct client collaboration to customize platforms or develop technical solutions.

What We Offer

• Business‑casual atmosphere with flexible work options.
• Team‑focused culture that promotes innovation and ownership.
• Access to cutting‑edge investment reporting technology and expertise.
• Competitive medical, dental, vision, and life insurance benefits.
• Paid maternity and paternity leave; personal and volunteer time off.
• RSUs, employee stock purchase plan, and 401(k) with match.
• Work‑from‑anywhere options; 3 weeks of in‑office time per year; work‑from‑home Fridays.

Salary Range

156,400.00 – 210,841.00 USD Annual.

Equal Opportunity Statement

Clearwater Analytics is an Equal Opportunity / Affimative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other federally protected class.

Company Overview

Clearwater Analytics (NYSE: CWAN) is transforming investment management with a comprehensive cloud‑native platform that integrates portfolio management, trading, accounting, reconciliation, regulatory reporting, performance, compliance, and risk analytics for institutional investors worldwide.