Schwab Asset Management Technology supports the platforms, data, and research capabilities that help drive investment insights and product innovation across the firm. As a Quantitative Software Engineer - Research Data & Models, you will lead a team responsible for building and modernizing research platforms, scalable data solutions, and quantitative models that enable investment research across multiple asset classes. This 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. Success in this role requires balancing 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.
What you have
Required Qualifications:
· Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering, or a related technical field, or equivalent experience
· 6+ years of software engineering experience supporting quantitative or analytical systems using Python or similar languages such as R, Matlab, or Julia
· 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
Preferred Qualifications:
· Advanced degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related discipline
· Experience with modern data lake architectures and platforms, including Snowflake
· 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 with 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
In addition to the salary range, this role is eligible for bonus or incentive opportunities.
