Clearwater Analytics is the leading SaaS platform for investment accounting, risk, and performance. We serve some of the world’s largest insurance companies, hedge funds, asset managers, and institutional investors. We deliver decision-ready risk analytics that bring clarity and insight to multi-asset portfolios—highlighting exposures, sensitivities, scenarios, and performance drivers.
As a Fixed Income Quantitative Developer specializing in Securitized Products, you will play a critical role within the Quant team, helping to enhance and expand our structured finance product suite—including agency and non-agency MBS, ABS, CMBS, and CLOs. You will collaborate closely with cross-functional teams of developers and interact directly with clients to deliver solutions tailored to both developers and end-users focused on trading and risk management. Your contributions will help drive the continuous improvement of our platform’s valuation models, risk analytics, and trade lifecycle capabilities for securitized assets.
Responsibilities:
· Develop and enhance models for valuation, risk, and trade lifecycle management, with a focus on securitized products (e.g., MBS, ABS, CMBS, CLOs).
· Design, build, and maintain frameworks to support structured finance products, including deal modeling, cash flow generation, scenario analysis, and reporting (e.g., P&L attribution, WAL, credit enhancements).
· Integrate third-party models and data sources such as Intex and/or Andrew Davidson (AD&Co) into the platform to enable accurate analytics and structured product modeling.
· Contribute to the continuous evolution of Beacon’s infrastructure to meet the needs of clients across the structured finance ecosystem.
Requirements:
· 3+ years of experience in quantitative development, with a focus on structured products.
· Familiarity with agency and non-agency MBS, ABS, CMBS, or CLO markets.
· Experience with tools like Intex, Andrew Davidson & Co (AD&Co), or other structured finance analytics platforms.
· Strong understanding of deal structures, tranche modeling, waterfall logic, and prepayment/default scenarios.
· Production-level development experience in a high-level language, preferably Python.
· Strong problem-solving and communication skills; ability to explain complex technical concepts to a broad audience.
What Will Make You Stand Out:
· Prior experience working in a front-office or risk role supporting securitized products.
· Experience building or enhancing structured product analytics, valuation models, or cash flow engines.
· Familiarity with relevant market data sources (e.g., Bloomberg, TRACE, loan-level data providers).
· Experience working directly with clients to tailor structured product solutions, integrate custom models, or onboard new datasets.
· Familiarity with SecDB, Athena, Quartz, or other graph-based technologies