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# Director, Quantitative Software Engineer

- **Company:** TD Ameritrade
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $230,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Automation of Tests, Continuous Integration, Data Governance, Data Integration, Data Visualization, Distributed Systems, Python (Programming Language), MATLAB, Machine Learning, Backtesting, Software Engineering, Data Storage Technologies, Generative AI, Containerization, Information Technology, Data Lineage, Deployment Automation, Software Version Control, Data Pipelines
- **Published:** September 15, 2026
- **Apply:** https://www.schwabjobs.com/financial-consultant-academy-opportunity-branch-network

## About the Role

* 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

## Description

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.


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