Quantitative Financial Analyst II

Job Summary:

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.

Responsibilities:

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.

Write and optimize SQL to extract security, position, and market data for model inputs, validation, and ad-hoc analysis.

Independently replicate and tie out existing mathematical models across Excel and Python, and analyze large sets of model output to identify relationships, shortcomings, and improvements.

Collaborate with cross-functional teams, including clients, operations, and software engineers, to develop and implement financial technology solutions.

Communicate complex quantitative concepts and findings to non-technical stakeholders through clear and concise documentation, reports, presentations, and trainings.

Stay current with advancements in financial technology, quantitative analysis techniques, software engineering practice, and industry regulation.

Participate in client conversations related to their domain.

Requirements:

Finance, Economics, Engineering, Mathematics, Statistics, Physics, Computer Science, or similar quantitative degree

One of the following: a PhD in a quantitative discipline; a Master’s degree and at least 2 years of relevant experience; or a Bachelor’s degree and at least 3 years of direct experience in quantitative analysis or development

Demonstrated programming ability in Python— writing reusable, tested code, interacting with APIs, and managing data for financial modeling and calculations

Experience with version control (Git) and collaborative software development workflows

Working proficiency in SQL, including writing and editing queries against relational databases

Extremely strong analytical skills including statistical concepts, quantitative methods, or risk management techniques

Solid understanding of financial…