Quantitative Financial Analyst I

## Job Summary: The Quantitative Developer builds, tests, and maintains the financial models, calculation libraries, and data pipelines that power Clearwater’s analytics. This is an early-career opening intended for candidates completing a master’s program in a quantitative field. Quantitative Developers learn Clearwater’s financial models and data model, implement calculations as tested and reviewed code alongside software engineering teams, and grow into ownership of a domain over time. The role blends applied quantitative finance with hands-on software development, and no prior professional experience is required — we expect strong programming fundamentals and a solid quantitative foundation, and will teach the rest. ## Responsibilities: - Assist senior Quantitative Developers and Quantitative Financial Analysts in researching and implementing new calculations as part of larger projects. - Write clear, tested Python that follows team standards, and contribute to the shared libraries and internal tooling used across the team through the normal code review process. - Accurately replicate existing mathematical models in Excel and Python, including client analytics tie-outs. - Perform acceptance, regression, and integration testing of financial models using the existing automated testing frameworks. - Write, read, and edit SQL queries to extract security, position, and market data for model inputs, validation, and ad-hoc analysis. - Implement numerical and statistical methods — Monte Carlo simulation, solvers and root-finding, interpolation — under the direction of more senior team members. - Build and maintain components of the data pipelines that source, normalize, and validate data consumed by financial models. - Research and learn the data model for your domain, including the data consumed and produced by the code base. - Assist operations teams in understanding how data inputs impact calculations, and assist developers in analyzing unexpected regressions for a code change. - Identify and build small automations, including the effective use of AI-assisted development tools, to simplify recurring analytical, validation, and documentation work. - Proactively update internal documentation to reflect new features and calculation methodology. - Answer questions within your domain about calculation methodology for internal stakeholders, and communicate findings clearly to non-technical audiences. - Build domain knowledge continuously, and stay current with quantitative analysis techniques and software engineering practice. ## Requirements: - Master’s degree, completed or to be completed before the start date, in Financial Engineering, Finance, Economics, Engineering, Mathematics, Statistics, Physics, Computer Science, or a similar quantitative field - No prior professional experience required - Demonstrated programming ability in Python — evidenced through coursework, thesis work, internships, or personal projects — including writing reusable functions and modules, working with structured data, and implementing financial or mathematical calculations - Strong quantitative foundation including probability, statistics, linear algebra, and numerical methods - Foundational understanding of financial markets, instruments, and investment strategies - Strong written and verbal communication skills, including the ability to explain quantitative work to non-technical audiences - Receptive to direction and feedback, and willing to escalate roadblocks early