Quantitative Platform Engineer: Research Analytics

Charles Schwab; San Francisco (CA); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

401(k) with company match

Sabbatical after 5 years

Parental leave and family building

Tuition reimbursement

Health, dental, and vision insurance

Job summary

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

You will work closely with researchers, engineers, product owners, and business partners to solve complex data challenges, enable data-driven decision-making, and create reusable solutions that improve efficiency and speed to market

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering, or related discipline or equivalent practical experience.
• 6+ years of software engineering in data-intensive apps, analytics platforms, or quantitative systems using Python and/or similar languages.
• Experience partnering with researchers/analysts/product owners to deliver data-driven tech solutions.
• Experience building scalable data pipelines and data platforms for structured/unstructured data.
• Proficiency in data modeling for storage, integration, retrieval, and analysis.
• Experience implementing data quality controls, governance, lineage, and observability.
• Experience building software capabilities supporting quantitative research and data-intensive workloads.
• Experience with CI/CD, source control, automated testing, containerization, deployment automation.
• Experience creating data visualizations and dashboards for actionable insights.
• Experience collaborating in Agile and DevOps environments.

Responsibilities

• Shaping Schwab’s research tech ecosystem by building scalable data and analytics capabilities.
• Collaborating with researchers, engineers, product owners, and business partners to deliver data-driven solutions.
• Developing and maintaining data pipelines and data platforms for diverse datasets.
• Delivering dashboards and visualization tools that enable actionable client insights.
• Contributing to platform direction, architecture, and governance for investment research workflows.

Skills

Python

Data pipelines

CI/CD

Testing frameworks

Data visualization

Agile/DevOps

Cloud platforms

Education

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

Advanced degree (preferred)

Tools

Snowflake

Google Cloud Platform (GCP)

Job description

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

You will work closely with researchers, engineers, product owners, and business partners to solve complex data challenges, enable data-driven decision-making, and create reusable solutions that improve efficiency and speed to market