Quantitative Software Engineer - Research Data and Models (PL)
About The Position
At Schwab Asset Management Technology, the Quantitative Software Engineer - Research Data & Models leads a team responsible for building and modernizing research platforms, scalable data solutions, and quantitative models that support investment research across multiple asset classes. The 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. The position balances innovation, operational excellence, and strategic decision-making while fostering a collaborative, agile culture focused on continuous improvement, transparency, and impactful outcomes for clients and business partners. The selected candidate is expected to work on site in the specified location(s). The role is eligible for bonus or incentive opportunities in addition to the salary range.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering, or a related technical field, or equivalent experience.
- At least 6 years of software engineering experience supporting quantitative or analytical systems using Python or a similar language such as R, Matlab, or Julia.
- Experience with modern data lake architectures and platforms, including Snowflake.
- 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.
Nice To Haves
- Advanced degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related discipline.
- 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, including 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.
Responsibilities
- Lead a team building and modernizing research platforms, scalable data solutions, and quantitative models for investment research across multiple asset classes.
- Partner with quantitative researchers, product leaders, engineers, and business and technology stakeholders to deliver research capabilities and measurable business outcomes.
- Support research workflows, data analysis, modeling, and backtesting.
- Design, develop, and operate scalable data pipelines for large and complex financial datasets.
- Implement data quality controls, monitoring, validation, lineage tracking, and governance practices.
- Build testing frameworks, including integration and regression testing.
- Lead engineering teams, coach talent, and support career development.
- Manage complex technology initiatives in regulated environments.
- Balance innovation, operational excellence, and strategic decision-making while fostering collaboration and continuous improvement.
Benefits
- Bonus or incentive opportunities in addition to the salary range.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
