Research Platform QE – Quantitative Data & Analytics

Charles Schwab; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

401(k) with company match

Paid time off and sabbatical

Parental leave and family benefits

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a Quantitative Software Engineer - Research Platform to help shape its research technology ecosystem. You will build scalable data, analytics, and platform capabilities that accelerate quantitative research and product innovation.

You will collaborate closely with researchers, engineers, product owners, and business partners to enable data-driven decision making, improve efficiency, and drive platform adoption across investment disciplines.

Qualifications

• 6+ years of software engineering experience developing data-intensive applications, analytical platforms, or quantitative systems using Python and/or similar languages such as R, MATLAB, or Julia.
• Experience partnering with researchers, analysts, product owners, or business stakeholders to deliver data-driven technology solutions.
• Experience designing, developing, and supporting scalable data pipelines and data platforms for structured and unstructured datasets.
• Proficiency designing and implementing data models for efficient storage, integration, retrieval, and analysis.
• Experience implementing data quality controls, monitoring, governance, lineage, and observability practices.
• Experience developing software capabilities that support quantitative research, analytics, or other data-intensive workloads.
• Experience applying modern software engineering and CI/CD practices, including source control, automated testing, containerization, and deployment automation.
• Experience building automated testing frameworks for integration, regression, and data validation testing.
• Experience developing data visualizations, dashboards, and analytical tools that enable actionable insights.
• Experience collaborating within Agile and DevOps environments across engineering, product, architecture, and governance teams.

Responsibilities

• Help shape Schwab’s research technology ecosystem by building scalable data, analytics, and platform capabilities.
• Collaborate with researchers, engineers, product owners, and business partners to deliver data-driven technology solutions.
• Solve complex data and technology challenges to enable data-driven decision-making and platform adoption.
• Create reusable solutions that improve efficiency and speed to market across investment disciplines.

Skills

Python

Data pipelines

Data modeling

CI/CD

Data visualization

Agile/DevOps

Automated testing

Collaboration

Education

Bachelor’s degree in Computer Science/Math/Engineering

Advanced degree (preferred)

Tools

Snowflake

Google Cloud Platform (GCP)

Docker

Job description

Charles Schwab is seeking a Quantitative Software Engineer - Research Platform to help shape its research technology ecosystem. You will build scalable data, analytics, and platform capabilities that accelerate quantitative research and product innovation.

You will collaborate closely with researchers, engineers, product owners, and business partners to enable data-driven decision making, improve efficiency, and drive platform adoption across investment disciplines.