Your Opportunity At Schwab, you are 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 providing innovative and reliable technology products and services as a part of our ongoing commitment to democratize access to investing and financial planning. Schwab’s Wealth and Asset Management (WAM) Engineering organization is a part of Schwab Technology Services that is responsible for Schwab's wealth, advice, investment management, and research platforms. Everything that WAM Engineering builds serves Schwab’s mission of helping clients reach their financial goals.As a Quantitative Software Engineer for WAM Engineering Research Technology, you will work as a hands-on technologist focused on our quantitative research initiatives. We currently support a variety of existing on-premise and cloud solutions, and we are actively expanding the capabilities of these platforms to drive cutting-edge research and product development activities.The role requires hands-on development in a client-driven technology organization with a focus on regulatory, tactical, and strategic business initiatives. The candidate will be responsible for evolving our key data platforms and delivering models, analytics, and reporting projects. The ideal candidate is expected to be a self-starter who can take responsibility for building significant capabilities within the broader research platform. This role works within a mature Agile and DevOps model in partnership with our business stakeholders, requiring active engagement with Product Owners, Researchers, Architects, and other Partners — in managing requirements, design, coding, testing (unit and functional), deployment, and post-release support. What you will do: Design, implement and maintain software solutions that enable quantitative research Apply knowledge and take a lead role in implementing quantitative investment research products within the designated business area to support organizational goals and objectives, including gathering and collecting time series financial data, and developing quantitative models, analytics, and tests Apply knowledge and take a lead role in implementing quantitative systems architecture within the designated business area to support organizational goals and objectives, including designing and maintaining financial research data systems that leverage distributed/cloud computing, data analytics, and machine learning Develop control frameworks required to deploy and manage quant models in production environments Lead data engineering implementation efforts for data processing pipelines that curate financial datasets into representations fit for model research and production applications Co-develop production code in conjunction with quant researchers to deliver performant software (supported by comprehensive test coverage) that meet investment objectives while minimizing the risk of model errors; manage SDLC processes to enable CI/CD Validate model outputs and defines controls; document model hypotheses including goals, back-testing, and stress-testing strategies; support model optimization analysis Design, develop, test, and deploy systematic analytics pipelines using machine learning / statistical analysis frameworks Build data visualizations and other tooling to enable model researchers to efficiently monitor model performance and stability, as well as to interpret model outputs Assist in selection and integration of data related tools, frameworks, and applications required to expand platform capabilities Lead or participate in developing proof-of-concepts to understand the appropriateness of new methodologies and/or technologies for our platforms Analyze business problems and processes; help refine requirements and design solutions for them Be a champion of new ways of collaborating with technology and business partners Influence and implement improvements and efficiencies in both the technical and non-technical aspects of the development process What you have Required Qualifications: Bachelor’s degree in Computer Science, Information Systems, Math, Engineering, or other technical field 4+ years of experience with Python or Java Proficiency in one or more programming languages used for quantitative investment model development and analysis (e.g., Python or R) Experience building data pipelines and related processes with large financial research timeseries datasets Proficiency in designing quant-research optimized data models that support efficient data retrieval and aggregation of financial datasets, including complex hierarchical structures Familiarity in developing distributed data processing and streaming frameworks and architectures Experience leveraging continuous integration/development tools (e.g. Jenkins, Docker, Containers, OpenShift, Kubernetes, and container automation) in a CI/CD pipeline Refines data analysis approaches to support informed business decision-making Enhances processes to ensure legal and ethical data compliance Innovates solutions to enhance data visualization clarity and utility Develops continuous monitoring mechanisms to ensure compliance and optimize performance of quantitative models in production Utilizes statistical techniques and hypothesis testing to analyze large datasets to support decision-making Leverages expertise in quantitative systems architecture to enhance the business impact of software solutions Optimizes software development testing and verification to enhance component reliability and address operational problems Preferred Qualifications Attention to detail and results oriented, with a strong customer focus Ability to prioritize workload to meet tight deadlines Consistently maintains clear, open communication to enhance collaboration with others, including senior business stakeholders Leverages industry expertise to guide strategy and guide team members in industry and marketplace dynamics Drives growth by sharing expertise and encouraging knowledge, skill, and ability development Synthesizes stakeholder input for informed well-informed decisions Anticipates reactions from individuals and groups in situations and plans accordingly Seeks new methods or technologies to enhance work outcomes Influences improvements in efficiency and effectiveness within a function Adapts oral communication to engage diverse stakeholders and inspire action Earns trust through ethical decisions and deep subject matter knowledge Uses storytelling, data, and emotion to persuade diverse audiences Leads activities, implements goal-setting strategies, and resolves a wide range of issues Analyzes trends and recommends strategies to sustain the firm's competitive advantage Produces high-quality written materials tailored to different stakeholders In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

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