Lead Quantitative Software Engineer: Research Data & Models

Charles Schwab; Chicago (IL); On-site; USD 195,000 - 250,000; Full time

Job summary

Charles Schwab is seeking a Quantitative Software Engineer - Research Data & Models to lead a team building and modernizing research platforms and data pipelines. The role emphasizes collaboration with researchers and engineers to deliver scalable data solutions and quantitative models that drive investment insights.

You will balance innovation with governance and operate in a regulated environment, with on-site work in the Chicago area.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering, or related field or equivalent experience.
• 6+ years of software engineering experience using Python or similar languages (R, Matlab, or Julia).
• Experience with modern data lake architectures and Snowflake.
• Experience partnering with quantitative researchers on workflows, data analysis, modeling, and backtesting.
• Experience designing, developing, and operating scalable data pipelines for large financial datasets.
• Strong knowledge of data modeling, data integration, and data management principles.
• Experience implementing data quality controls, monitoring, lineage tracking, and governance practices.
• Experience with CI/CD tools such as Jenkins and containerized environments (Docker, OpenShift, Kubernetes).
• Experience building testing frameworks (integration/regression).
• Experience leading engineering teams and collaborating with stakeholders to deliver business outcomes.
• Experience managing complex technology initiatives within regulated environments.

Responsibilities

• Lead a team building and modernizing research platforms and data capabilities.
• Develop scalable data pipelines and quantitative models for investment research.
• Collaborate with researchers, product leaders, and engineers to translate research into business value.
• Balance innovation with operational excellence, governance, and compliance.

Skills

Team leadership

Stakeholder collaboration

Problem solving

Communication

Education

Bachelor's degree in CS/IS/Math/Engineering

Advanced degree in CS/Engineering/Math/quantitative finance

Tools

Python

Snowflake

Jenkins

Docker

OpenShift

Kubernetes

Job description

Charles Schwab is seeking a Quantitative Software Engineer - Research Data & Models to lead a team building and modernizing research platforms and data pipelines. The role emphasizes collaboration with researchers and engineers to deliver scalable data solutions and quantitative models that drive investment insights.

You will balance innovation with governance and operate in a regulated environment, with on-site work in the Chicago area.