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About the Role

Schwab Asset Management Technology supports platforms, data, and research capabilities that drive investment insights and product innovation. As a Quantitative Software Engineer - Research Data & Models, you will lead a team building and modernizing research platforms, scalable data solutions, and quantitative models for investment research. This role requires 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 requires balancing innovation, operational excellence, and strategic decision-making while fostering a collaborative, agile culture.

Responsibilities

Lead a team responsible for building and modernizing research platforms, scalable data solutions, and quantitative models.
Enable investment research across multiple asset classes.
Combine technical leadership, problem-solving, and partnership with researchers, product leaders, and engineers.
Deliver reliable, high-quality capabilities that translate research into business value.
Foster a collaborative, agile culture focused on continuous improvement, transparency, and impactful outcomes.

Requirements

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 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.
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 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.

Skills

Python
R
Matlab
Julia
Data lake architectures
Snowflake
Data pipelines
Data modeling
Data integration
Data management
Data quality controls
CI/CD tools
Jenkins
Docker
OpenShift
Kubernetes
Testing frameworks
Integration testing
Regression testing
Distributed computing
Cloud adoption
Platform modernization
Investment research methodologies
Factor modeling
Portfolio construction
Risk analytics
Performance attribution
Backtesting

Location

On-site

Work Type

On-site

Experience Level

6+ years of software engineering experience
Experience leading engineering teams
Experience managing complex technology initiatives

Education Level

Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering, or a related technical field, or equivalent experience
Advanced degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related discipline

Salary/Compensations

In addition to the salary range, this role is eligible for bonus or incentive opportunities.

About the Company

At Schwab, you’re empowered to make an impact on your career.
Innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together.