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Vice President (or Assistant Vice President), Treasury Reporting & Analytics

Job in New York, New York County, New York, 10261, USA
Listing for: Golub Capital
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 115000 - 180000 USD Yearly USD 115000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: New York

Position Information

Hiring Manager:
Senior Director Department:
Treasury Department

Overview

The Treasury Department is responsible for the Firm's overall cash management, allocation of investment opportunities and maintenance of third-party debt facilities. Primary functions within Treasury include short and long-term cash forecasting, FX management, pre-trade compliance, asset allocations, cash positioning, liquidity optimization and debt compliance. The Treasury Department collaborates closely with many internal and external partners to ensure the Firm's financing goals are met.

These partners include senior management, Corporate Development, Structured Products, Capital Markets, Middle Market Lending and Broadly Syndicated Loan Origination Teams, Accounting, Operations, Tax, Technology Solutions and Investor Relations, and external partners such as banking partners, trustees, accounting firms, tax counsel, administrators and rating agencies.

Position Responsibilities
  • Reporting & Analytics Development Designing, developing and maintaining Power BI dashboards, reports, scorecards and analytical tools supporting Treasury, executive leadership and other business stakeholders
  • Building reporting frameworks capable of supporting both detailed operational analysis and executive-level decision making
  • Developing DAX measures that support scalable reporting across multiple funds, products and business units
  • Automating and enhancing existing reporting processes to improve timeliness, consistency, scalability and accuracy by leveraging governed enterprise datasets and the semantic layer
  • Identifying opportunities to streamline manual reporting activities through automation and improved data accessibility
  • Developing and supporting reporting and analytical capabilities across a broad range of Treasury disciplines
  • Providing ongoing support, training and guidance to users of delivered reporting and analytics solutions
Data Governance & Data Management
  • Partnering with Technology Solutions and data owners to improve the accessibility, quality and usability of Treasury data
  • Identifying opportunities to migrate manually maintained data and reporting processes into governed and scalable reporting environments
  • Assisting in developing reporting standards, metric definitions, business rules and data quality controls
  • Validating and reconciling data across multiple systems, warehouses, third‑party applications and manually maintained data sources
Stakeholder Collaboration
  • Partnering with Treasury leadership to prioritize reporting initiatives and analytical development efforts
  • Collaborating with Structured Products, Product Solutions and other business partners to understand and address reporting needs
  • Communicating technical concepts, data limitations and analytical findings to both technical and non-technical audiences
  • Supporting ad hoc analysis and special projects requested by Treasury and executive leadership
Artificial Intelligence & Emerging Technologies
  • Partnering with Treasury leadership to develop next‑generation reporting, knowledge management and analytical capabilities
  • Identifying opportunities to apply AI, automation and emerging technologies to Treasury processes and reporting workflows
  • Evaluating and recommending practical use cases for AI‑enabled analytics and decision support
Candidate Requirements & Experience
  • Bachelor's degree in Finance, Accounting, Economics, Information Systems, Computer Science, Engineering, Mathematics, Data Analytics or a related field
  • 7+ years of experience in reporting, analytics, business intelligence, data management or related technical disciplines, preferably within the financial services sector
  • Advanced experience developing reporting and analytics solutions using Power BI
  • Extensive experience with DAX, semantic models and data modeling
  • Strong SQL skills and experience querying large and complex datasets
  • Experience integrating data from multiple systems and sources
  • Demonstrated ability to effectively leverage AI tools in day‑to‑day work, coupled with strong critical thinking to assess accuracy, limitations and appropriate use of AI‑generated outputs
  • Demonstrated ability to translate business…
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