Quantitative Software Engineer – Research Data & Models

Charles Schwab Corporation

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

4 days ago

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Job summary

Charles Schwab Corporation in San Francisco is seeking a Quantitative Software Engineer - Research Data & Models to lead a team building and modernizing research platforms, data solutions, and quantitative models that enable investment research across asset classes.

The role combines technical leadership with collaboration among researchers, product leaders, and engineers to deliver reliable capabilities, balance innovation with operational excellence, and drive outcomes for clients and business

Qualifications

Bachelor’s degree or equivalent in a technical field and 6+ years of software engineering.
Experience with Python or similar (R/Matlab/Julia) in quantitative/analytical contexts.
Proven ability to partner with researchers to support workflows, data analysis, modeling and backtesting.
Design, develop, and operate scalable data pipelines for large financial datasets.
Strong data modeling, integration, and governance practices.
Experience with CI/CD tools and containerized environments (Jenkins, Docker, OpenShift, Kubernetes).
Experience building testing frameworks, and leading engineering teams.

Responsibilities

Lead a team building and modernizing research platforms and data solutions.
Develop quantitative models to enable investment research across asset classes.
Collaborate with researchers, product leaders, and engineers to deliver reliable capabilities.
Balance innovation with operational excellence and drive business value.