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.
Job Duties Create SQL queries to analyze small to large sets of data and optimize as needed. Partner with business teams to understand project needs, challenges, and goals, and recommend the best-fit low-code or coded automation solutions. Design, build, document, and maintain automated solutions and dashboards using Tableau, Alteryx, UiPath, and other tools as appropriate. Develop and support financial insights, engagement metrics, and decision-support tools related to liquidity management and business performance. Maintain and enhance existing projects as vendor tools evolve or as new business requests emerge. Respond to user requests and production issues during business hours, ensuring timely and effective resolution. Ensure data accuracy and availability in reports and automations; align solutions with internal standards (e.g., Schwab BLD). Continuously identify and implement improvements in processes and technologies. Maintaining internal procedures and documentation for liquidity reporting. Analyze and interpret data from different sources like databases and spreadsheets and make recommendations for technical solutions and automation. Perform data analysis and defect identification. Act as treasury liaison in projects for developing liquidity monitoring tools. Document and present analytical findings to both technical and non-technical audiences. Contribute to ad hoc analytical projects and reporting, primarily related to liquidity.
Job Requirements Requires Bachelor’s or Master's in Computer Science, Information Technology and Management, or a related field and 72 months of progressive, post-Bachelor’s experience (72 months w/Bachelor’s or 48months w/Master’s) in a related occupation. . Experience must include 24 months of experience involving the following: Robotic process automation (RPA) platforms, including Ui Path; Tableau Desktop and Tableau Server for data visualization and reporting; Liquidity Coverage Ratio (LCR), Net Stable funding ratio, and FR2052a Reporting; Writing and optimizing Python scripts for analytics, modeling, and automation; Farnam Suite tools; and Google Cloud Platform (GCP) and SQL for data management and analytics.
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 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; hybrid/remote work schedule available for eligible positions (subject to Schwab’s internal approach to workplace flexibility).
Charles Schwab is a different kind of investment services firm – one that strives to disrupt the status quo of the traditional Wall Street approach on behalf of our clients. We believe today, as we did on Day 1, that when you find ways to improve the investing experience for your clients, then business results will follow. Follow our company culture at #SchwabLife and see how we give back at #Schwab4Good.
Support hours: 7 a.m.–7 p.m. CT or 24/7 at schwab.com/contact-us.
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