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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Quantitative Software Engineer - Research Platform - **Company:** TD Ameritrade - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $175,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Business Analytics Applications, Data Analysis, Automation of Tests, Big Data, Continuous Integration, Data Validation, Data Visualization, DevOps, Distributed Computing Environment, Machine Learning, Productivity Software, Cloud Services, Backtesting, Software Engineering, Data Streaming, Google Cloud, Snowflake, Generative AI, Containerization, Information Technology, Deployment Automation, Data Analytics, Software Version Control - **Published:** September 17, 2026 - **Apply:** https://www.schwabjobs.com/financial-consultant-academy-opportunity-branch-network ## About the Role * Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering, or a related technical discipline, or equivalent practical experience. * 6+ years of software engineering experience developing data-intensive applications, analytical platforms, or quantitative systems using Python and/or similar languages such as R, MATLAB, or Julia. * Experience partnering with researchers, analysts, product owners, or business stakeholders to deliver data-driven technology solutions. * Experience designing, developing, and supporting scalable data pipelines and data platforms for structured and unstructured datasets. * Proficiency designing and implementing data models for efficient storage, integration, retrieval, and analysis. * Experience implementing data quality controls, monitoring, governance, lineage, and observability practices. * Experience developing software capabilities that support quantitative research, analytics, or other data-intensive workloads. * Experience applying modern software engineering and CI/CD practices, including source control, automated testing, containerization, and deployment automation. * Experience building automated testing frameworks for integration, regression, and data validation testing. * Experience developing data visualizations, dashboards, and analytical tools that enable actionable insights. * Experience collaborating within Agile and DevOps environments across engineering, product, architecture, and governance teams., * Advanced degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related technical discipline. * Experience with cloud-native data platforms and architectures; Snowflake and/or Google Cloud Platform (GCP) experience preferred. * Experience building distributed data processing, streaming, or large-scale analytics solutions. * Experience developing reusable platforms, frameworks, libraries, or shared services. * Experience supporting quantitative investment research, model development, portfolio analytics, backtesting, or investment management workflows. * Experience analyzing large, complex datasets to identify meaningful insights and opportunities. * Experience developing self-service analytics, visualization, and researcher productivity tools. * Experience implementing model lifecycle management, monitoring, observability, and risk-control frameworks. * Experience applying machine learning, generative AI, or advanced analytics capabilities to business problems. * Ability to influence technology strategy, architecture decisions, engineering standards, and platform direction. * Strong verbal and written communication skills with technical and non-technical audiences. * Demonstrated commitment to innovation, experimentation, and continuous improvement. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Microservices architecture as a key element in building trading systems for global finance markets](https://www.wearedevelopers.com/videos/1196-microservices-architecture-as-a-key-element-in-building-trading-systems-for-global-finance-markets) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)