Senior Business Systems Analyst – Liquidity Reporting Systems
Listed on 2026-03-11
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Finance & Banking
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 Senior Business Systems Analyst – Liquidity Reporting Systems plays a critical role in supporting Schwab’s regulatory liquidity reporting, analytics and risk management capabilities. This role partners closely with Treasury, Risk, Finance, Technology, and Data teams to analyze, design, and deliver scalable data‑driven and technology‑enabled solutions that support firm‑wide liquidity analytics and regulatory submissions.
The role focuses on business analysis and systems enablement for liquidity reporting platforms supporting key regulatory frameworks such as FR 2052a, Liquidity Coverage Ratio (LCR), and Net Stable Funding Ratio (NSFR). The ideal candidate brings strong domain knowledge in financial data, hands‑on experience working with large‑scale data systems, and a deep appreciation for data governance and control expectations in a regulated environment.
Whatyou have Required Skills
- Strong experience as a Business Systems Analyst or similar role supporting financial, risk, or regulatory data systems.
- Solid understanding of financial data structures, data flows, and enterprise data platforms within large financial institutions.
- Demonstrated experience with transaction testing, data validation, and conformance testing in a regulated environment.
- Strong SQL skills, with experience querying large datasets to perform reconciliations, trace transactions, and investigate data issues.
- Familiarity with data governance concepts, including data quality controls, lineage, issue management, and documentation.
- Ability to translate complex regulatory and business concepts into clear, actionable functional and technical requirements.
- Strong analytical, problem‑solving, and communication skills, with the ability to engage both business and technical partners.
- Familiarity with data warehousing, reporting tools, and modern data ecosystems (e.g., relational databases, analytical platforms).
- Ability to work in a fast paced, agile, ambiguous environment
- Working knowledge of FR 2052a, Liquidity Coverage Ratio (LCR), and Net Stable Funding Ratio (NSFR).
- Experience supporting Treasury, Liquidity Risk, or Regulatory Reporting functions.
- Experience working with audit, regulatory exams, or internal model/risk governance processes.
- Bachelor’s degree in Finance, Accounting, Economics, Information Systems, or a related field, or equivalent practical experience.
- 7+ years of experience in business analysis, systems analysis, or financial systems and data support roles.
- Prior experience in financial services, banking, or capital markets strongly preferred.
- Partner with Treasury, Risk, Finance, and Regulatory Reporting stakeholders to gather, analyze, and document business requirements related to liquidity reporting and data consumption.
- Translate regulatory and business needs (e.g., FR 2052a, LCR, NSFR) into clear functional requirements, data definitions, source‑to‑target mappings, and system use cases.
- Develop and support business process flows, data line‑age documentation, and functional specifications for liquidity reporting systems.
- Support systems and data pipelines used for daily, monthly, and ad‑hoc liquidity reporting.
- Ensure accurate sourcing, transformation, and aggregation of finance and risk data across multiple upstream systems and data platforms.
- Assist with enhancements and ongoing support of liquidity metrics, stress reporting, and regulatory submissions.
- Collaborate closely with technology, data engineering, and platform teams on system design, data models, interfaces, and reporting solutions.
- Use SQL and data analysis techniques to validate data, perform reconciliations, investigate anomalies, and support issue resolution.
- Validate system outputs through data analysis, controls, and exception monitoring to ensure data accuracy, completeness, and consistency.
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