Quantitative Software Engineer - Research Data and Models (PL)

Charles Schwab; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

401(k) with company match

Sabbatical after 5 years

Parental leave

Tuition reimbursement

Health insurance

Job summary

Charles Schwab is seeking a Quantitative Software Engineer to lead a team building and modernizing research platforms, scalable data solutions, and quantitative models across asset classes.

You will collaborate with researchers, product leaders, and engineers to deliver reliable capabilities that translate research into business value. This role blends technical leadership with governance and agile practices.

Qualifications

• Bachelor’s degree in a technical field or equivalent experience.
• 6+ years of software engineering experience with Python or similar languages.
• Experience partnering with quantitative researchers to support research workflows, data analysis, modeling, and backtesting.
• Experience building 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 leading engineering teams, coaching talent, and supporting career development.

Responsibilities

• Lead a team to build and modernize research platforms, scalable data solutions, and quantitative models.
• Collaborate with researchers, product leaders, and engineers to translate research into business value.
• Balance innovation with operational excellence and strategic decision-making.
• Foster a collaborative, agile culture focused on continuous improvement, transparency, and impactful outcomes for clients and business partners.

Skills

Python

Data pipelines

Data modeling

Research collaboration

CI/CD practices

Testing frameworks

Leadership

Education

Bachelor’s degree in Computer Science or related field

Advanced degree preferred

Tools

Jenkins

Docker

OpenShift

Kubernetes

Snowflake

Job description

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

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.

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance