Quantitative Financial Analyst II

The Quantitative Analyst / Developer designs, builds, and maintains the financial models, calculation libraries, and data pipelines that power Clearwater’s analytics. Quantitative Developers research financial models, products, and techniques, then implement them as production-quality, well-tested code — working alongside software engineering teams to deliver calculations into new and existing software. The role blends applied quantitative finance with hands‑on software development, and requires both a working knowledge of asset classes and quantitative modeling techniques (risk analytics, amortization, valuation, and performance) and strong technical skills (Python, SQL, version control) for building and automating analytics on large data sets.

• Design, build, and maintain quantitative models, calculation libraries, and data analytics tools used to value portfolios, assess financial risk, and forecast portfolio behavior.
• Write production-quality Python — modular, reusable, version-controlled, peer-reviewed, and covered by automated tests — and contribute to the shared libraries and internal tooling used across the team.
• Build and maintain data pipelines that source, normalize, and validate security, market, and reference data consumed by financial models.
• Develop, maintain, and execute test plans for financial models and their software implementations, including regression and integration testing within the existing automated testing frameworks.
• Implement numerical and statistical methods — Monte Carlo simulation, solvers and root-finding, interpolation, optimization — and stochastic models, including interest rate models, for valuation, risk, and cash flow analytics.
• Provide requirements, design, and scope considerations for software development projects involving financial models, and translate model specifications into working implementations.
• Identify and build opportunities for automation, including the effective use of AI-assisted development tools, to simplify recurring analytical, validation, and documentation work.

• Experience in Fixed Income Securities and Risk Analytics including cash flow analysis, OAS, duration and convexity, and numerical methods
• Experience with Stochastic Modeling of Financial Markets Interest rate modeling (e.g., Hull-White, HJM, LIBOR Market Model) and model calibration