Quantitative Software Engineer — Research Platform
Charles Schwab Corporation
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Job summary
Charles Schwab Corporation in San Francisco is seeking a Quantitative Software Engineer - Research Platform to advance Schwab's research tech ecosystem. You will build scalable data, analytics, and platform capabilities to accelerate quantitative research and product innovation.
Collaborating with researchers, engineers, product owners, and business partners, you will enable data-driven decision making, create reusable solutions, and improve efficiency, speed to market, and platform adoption
Qualifications
- 6+ years in software engineering for data-intensive apps or quantitative systems.
- Proficient in Python or similar languages and data pipelines.
- Experience partnering with researchers, analysts, product owners, or stakeholders.
- Skilled in data models, data quality, governance, and observability.
Responsibilities
- Build scalable data, analytics, and platform capabilities for quantitative research.
- Collaborate with researchers, engineers, and product owners to deliver solutions.
- Enable data-driven decision making and reusable platform components.
- Improve efficiency, speed to market, and platform adoption across teams.
Skills
Education
Tools
Job description
Charles Schwab Corporation in San Francisco is seeking a Quantitative Software Engineer - Research Platform to advance Schwab's research tech ecosystem. You will build scalable data, analytics, and platform capabilities to accelerate quantitative research and product innovation.
Collaborating with researchers, engineers, product owners, and business partners, you will enable data-driven decision making, create reusable solutions, and improve efficiency, speed to market, and platform adoption
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