> Markdown version of [/jobs/ext/2936013-quantitative-software-engineer-research-data-and-models-pl](https://www.wearedevelopers.com/jobs/ext/2936013-quantitative-software-engineer-research-data-and-models-pl). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Quantitative Software Engineer - Research Data and Models (PL) - **Company:** Charles Schwab Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $195,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Information Systems, Continuous Integration, Data Integration, Distributed Systems, Python (Programming Language), MATLAB, OpenShift, Regression Testing, Backtesting, Cloud Platform System, Containerization, Data Lakes, Kubernetes, Information Technology, Data Lineage, Data Management, Cloud Migration, Data Pipelines, Docker, Jenkins - **Published:** September 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f79ff5379591e6db ## About the Role * Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering, or a related technical field, or equivalent experience * 6+ years of software engineering experience supporting quantitative or analytical systems using Python or similar languages such as R, Matlab, or Julia * Experience partnering with quantitative researchers to support research workflows, data analysis, modeling, and backtesting * Experience designing, developing, and operating scalable data pipelines for large and complex financial datasets * Strong knowledge of data modeling, data integration, and data management principles * Experience implementing data quality controls, monitoring, validation, lineage tracking, and governance practices * Experience with CI/CD tools and technologies such as Jenkins, Docker, OpenShift, Kubernetes, and containerized environments * Experience building testing frameworks, including integration and regression testing * Experience leading engineering teams, coaching talent, and supporting career development * Proven ability to collaborate with business and technology stakeholders to prioritize work and deliver measurable business outcomes * Experience managing complex technology initiatives within regulated environments, * Advanced degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related discipline * Experience with modern data lake architectures and platforms, including Snowflake * Experience designing distributed computing solutions for large-scale data processing and analytics * Experience leading cloud adoption, platform modernization, or enterprise technology transformation efforts * Strong understanding of investment research methodologies, factor modeling, portfolio construction, risk analytics, performance attribution, or backtesting * Experience influencing business and technology strategy through data-driven decision-making * Excellent communication skills with the ability to present complex technical concepts to diverse audiences * Experience mentoring technical talent and building organizational capability across teams * Demonstrated ability to drive alignment across multiple stakeholders with competing priorities ## Description Schwab Asset Management Technology supports the platforms, data, and research capabilities that help drive investment insights and product innovation across the firm. As a Quantitative Software Engineer - Research Data & Models, you will lead a team responsible for building and modernizing research platforms, scalable data solutions, and quantitative models that enable investment research across multiple asset classes. This role combines technical leadership, problem-solving, and partnership with researchers, product leaders, and engineers to deliver reliable, high-quality capabilities that translate research into business value. 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