Senior Business Systems Analyst – Liquidity Platform Modernization

About the role

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. The Treasury Business Systems Analyst will serve as a senior business-side lead for the Liquidity platform modernization initiative. The role will translate liquidity regulatory reporting, analytics, forecasting, stress testing, and governance needs into clear business and functional requirements; coordinate design decisions across Treasury, Risk, Finance, Data, and Technology; and help deliver a scalable, modular, FR 2052a-first liquidity platform while preserving the stability and compliance of the existing environment.

Requirements

• Bachelor’s degree in Finance, Accounting, Economics, Information Systems, Computer Science, Data Analytics, or a related field, or equivalent practical experience.
• 7+ years of experience in business systems analysis, business analysis, product analysis, financial systems, or data-focused technology delivery, preferably within banking, capital markets, Treasury, Risk, or regulatory reporting.
• Demonstrated ability to lead requirements discovery and convert complex business and regulatory concepts into business requirements, functional and nonfunctional requirements, user stories, acceptance criteria, process flows, data definitions, source-to-target mappings, and system use cases.
• Strong understanding of enterprise data flows, data models, system integrations, controls, and the software development lifecycle, with experience partnering effectively with architects, developers, data engineers, quality engineers, and product owners.
• Strong SQL and data-analysis skills, including experience querying large datasets, tracing transactions through multiple systems, reconciling outputs, investigating anomalies, and supporting root-cause analysis.
• Experience with data governance and control disciplines, including data quality, lineage, metadata, issue management, audit evidence, change management, and documentation in a regulated environment.
• Strong facil