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 Technology Services enables the future of how clients manage their money by delivering innovative and reliable technology solutions that support investing, financial planning, and wealth management. Within Schwab Asset Management Technology, you will help advance the platforms, data, and research capabilities that power investment insights and product innovation. As a Director, Quantitative Software Engineer - Research Lead, you will partner closely with quantitative researchers, investment professionals, and technology teams to accelerate research, model development, and product delivery. You will solve complex technical challenges, design scalable research and data platforms, and transform innovative investment concepts into production-ready solutions. Success in this role requires strong collaboration, analytical thinking, adaptability, and technical leadership as you help build reusable capabilities that improve research effectiveness, support data-driven decisions, and enable the delivery of differentiated investment products across the enterprise. What you have Required Qualifications: • Bachelor's degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related technical field, or equivalent practical experience • 8+ years of software engineering experience developing quantitative applications, research platforms, or data-intensive solutions using Python and/or similar languages such as R, Julia, or MATLAB • Experience partnering directly with quantitative researchers, portfolio managers, or investment professionals • Experience designing, building, and supporting scalable data pipelines and analytical platforms • Knowledge of quantitative research workflows, including data acquisition, model development, backtesting, validation, and deployment • Experience designing data models, data integration solutions, and data storage architectures • Experience developing data visualization and analytical tools that support research and decision-making • Experience implementing data governance, lineage tracking, monitoring, and data quality controls • Experience balancing research flexibility with enterprise standards for reliability, reproducibility, security, and supportability • Experience with modern software engineering practices, source control, automated testing, containerization, CI/CD, and deployment automation • Demonstrated ability to lead complex technical initiatives and thrive in ambiguous environments • Strong verbal and written communication skills Preferred Qualifications: • Advanced degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related field • Experience productionizing quantitative models and research methodologies supporting investment products • Experience building reusable platforms, frameworks, libraries, or shared services • Experience applying AI/ML, generative AI, distributed computing, or cloud-native technologies to research and analytics challenges • Experience influencing technology strategy through investment industry and market insights • Experience developing visualization, exploratory analytics, or decision-support solutions • Demonstrated track record of innovation and continuous improvement • Experience mentoring engineers, researchers, or other technical professionals • Ability to communicate complex quantitative and technical concepts to diverse audiences • Demonstrated integrity, sound judgment, and discretion when handling sensitive information 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

Requirements

Must-haves

Your opportunity
What you have
Bachelor's degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related technical field, or equivalent practical experience
8+ years of software engineering experience developing quantitative applications, research platforms, or data-intensive solutions using Python and/or similar languages such as R, Julia, or MATLAB
Experience partnering directly with quantitative researchers, portfolio managers, or investment professionals
Experience designing, building, and supporting scalable data pipelines and analytical platforms
Knowledge of quantitative research workflows, including data acquisition, model development, backtesting, validation, and deployment
Experience designing data models, data integration solutions, and data storage architectures
Experience developing data visualization and analytical tools that support research and decision-making
Experience implementing data governance, lineage tracking, monitoring, and data quality controls
Experience balancing research flexibility with enterprise standards for reliability, reproducibility, security, and supportability
Experience with modern software engineering practices, source control, automated testing, containerization, CI/CD, and deployment automation

Nice-to-haves

Advanced degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related field
Experience productionizing quantitative models and research methodologies supporting investment products
Experience building reusable platforms, frameworks, libraries, or shared services
Experience applying AI/ML, generative AI, distributed computing, or cloud-native technologies to research and analytics challenges
Experience influencing technology strategy through investment industry and market insights
Experience developing visualization, exploratory analytics, or decision-support solutions
Demonstrated track record of innovation and continuous improvement
Experience mentoring engineers, researchers, or other technical professionals
Ability to communicate complex quantitative and technical concepts to diverse audiences
Demonstrated integrity, sound judgment, and discretion when handling sensitive information
What’s in it for you
We offer a competitive benefits package that takes care of the whole you – both today and in the future:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonci/cdaiml

Platform: career-feeds
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave