Business Systems Analyst – Liquidity Platform Modernization

Charles Schwab Inc.•Westlake, TX

1d•$85,500 - $150,000

About The Position

The Business Systems Analyst supports the business-side delivery of Schwab’s Liquidity platform modernization initiative. Working under the direction of senior business and product leads, the analyst gathers and documents requirements, analyzes liquidity data and processes, coordinates testing and issue resolution, and maintains documentation and traceability. The role helps deliver a governed future-state platform while supporting the existing Liquidity environment. The analyst works with Treasury, Regulatory Reporting, Risk, Finance, Data, and Technology stakeholders to clarify needs, validate data and system behavior, support phased implementation, and communicate progress, risks, and decisions. The role also supports legacy platform enhancements and production validation during the modernization period.

Requirements

Bachelor’s degree in Finance, Accounting, Economics, Information Systems, Computer Science, Data Analytics, or a related field, or equivalent practical experience.
At least 4 years of experience in business systems analysis, business analysis, product analysis, financial systems, data analysis, or technology project delivery; financial services or another regulated industry is preferred.
Experience eliciting and documenting business requirements, user stories, acceptance criteria, process flows, business rules, data definitions, use cases, and functional specifications.
Working knowledge of data flows, relational databases, system interfaces, data transformation concepts, and the software development lifecycle.
Proficiency with SQL and Excel, including the ability to analyze and reconcile large datasets, identify exceptions, investigate data issues, and document findings clearly.
Hands-on experience supporting user acceptance testing, system testing, regression testing, defect tracking, test evidence, and post-implementation validation.
Familiarity with data governance and control practices, including data quality checks, lineage documentation, issue tracking, change controls, and procedure maintenance.
Strong analytical, problem-solving, documentation, organizational, and communication skills, with the ability to collaborate across business, data, and technology teams.
Ability to manage multiple priorities, follow through on action items, and work effectively in an agile and evolving environment with a strong commitment to accuracy and quality.

Nice To Haves

Knowledge of Treasury, liquidity risk, regulatory reporting, FR 2052a, LCR, NSFR, or liquidity stress testing.
Experience with Jira, Confluence, process-mapping tools, cloud or enterprise data platforms, and reporting or analytics tools.

Responsibilities

Support requirements discovery sessions with Treasury, Regulatory Reporting, Risk, Finance, Data, and Technology stakeholders; document outcomes, open questions, dependencies, and decisions.
Draft and maintain business requirements, user stories, acceptance criteria, process maps, data definitions, source-to-target mappings, functional specifications, and requirements traceability.
Analyze current-state processes and manual workflows to identify gaps, duplicate logic, control points, upstream and downstream dependencies, and opportunities for automation or simplification.
Use SQL and Excel to analyze and validate source data, transformations, business rules, calculations, reconciliations, and system outputs; document exceptions and support root-cause analysis.
Coordinate with technology and data partners to clarify requirements, answer business questions, track development progress, and confirm that functionality meets documented needs.
Prepare test scenarios, test cases, expected results, and test data; execute UAT and regression testing; record evidence; log defects; retest fixes; and support business sign-off.
Support phased implementation through pilot validation, onboarding additional products and data sources, and creating repeatable implementation and operating documentation.
Monitor and track data or system issues, coordinate with appropriate owners, communicate status and impacts, and verify that remediation is complete and sustainable.
Support legacy platform enhancements and production validation during modernization, including analysis of new products, regulatory changes, upstream data changes, and downstream impacts.
Prepare status updates, meeting materials, demonstrations, training content, and stakeholder communications; promptly escalate risks, blockers, and unresolved decisions.