Quantitative Financial Analyst I

Clearwater Analytics; Boise, Northern (ID, KY); Hybrid; USD 65,000 - 95,000; Full time

Job summary

Clearwater Analytics is seeking an entry-level Quantitative Financial Analyst I in Boise to build and test financial models, calculation libraries, and data pipelines. The role blends applied quantitative finance with practical software development, with training provided and no prior professional experience required.

You will write Python, replicate models in Excel/Python, and work with SQL data extraction; you will grow domain knowledge and contribute to internal tooling while communicating

Qualifications

• Master’s degree completed or to be completed before start date in a quantitative field.
• Strong programming ability in Python — evidenced through coursework or projects.
• Foundational understanding of financial markets, instruments, and investment strategies.
• Experience with SQL and relational databases is a plus.

Responsibilities

• Assist senior Quant Developers and Analysts in researching and implementing new calculations as part of larger projects.
• Write clear, tested Python that follows team standards, and contribute to libraries and tooling.
• Replicate existing mathematical models in Excel and Python, including client analytics tie-outs.
• Perform testing of financial models using automated testing frameworks.
• Write, read, and edit SQL queries to extract data for model inputs and analyses.
• Implement numerical methods — Monte Carlo, solvers and root-finding, interpolation.
• Build and maintain data pipelines that source, normalize, and validate data.
• Learn the data model for the domain and assist in understanding data impact of changes.
• Develop small automations and use AI-assisted tooling to simplify repetitive tasks.
• Update internal documentation to reflect new features and methodology.
• Communicate findings to non-technical stakeholders.

Skills

Python

SQL

Git

Communication

Probability

Statistics

Linear algebra

Numerical methods

Excel modelling

AI tooling

Education

Master’s degree in Financial Engineering/Finance/Engineering/Mathematics/Statistics/Physics/CS

Tools

NumPy

pandas

SciPy

Job description

## Quantitative Financial Analyst IApply: Office - Boise: Full time: Posted Today: R12181**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**Desired Experience or Skills:*** Exposure to SQL and relational databases* Familiarity with version control (Git) and collaborative software development workflows* Internship, co-op, or research experience in financial services, fintech, or quantitative research* Coursework or research in Fixed Income Securities and Risk Analytics, including cash flow analysis, OAS, duration and convexity* Coursework or research in Stochastic Modeling of Financial Markets* Interest rate modeling (e.g., Hull-White, HJM, LIBOR Market Model) and model calibration* Exposure to Derivatives Pricing Models and computing Implied Volatility* Proficiency with scientific Python libraries (NumPy, pandas, SciPy)* Experience building data pipelines that source and normalize data from multiple systems or vendors* Advanced Excel modelling* Effective use of AI coding assistants and LLM-based tooling within a development workflow* Familiarity with automated testing frameworks and the software development process, i.e. Agile* Progress toward or completion of the CFA, FRM, or CQF