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Analyst, Liquidity Strategy

Raymond James Financial, Inc.

Saint Petersburg, FLJobSeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
No compensation found
Location
Saint Petersburg, FL
Work Authorization
Not specified

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Job overview

The Analyst supports liquidity reporting, analysis, and governance by preparing management reports, monitoring regulatory guidance, and collaborating with Treasury, Finance, and Risk teams to enhance processes and documentation.

Skills & qualifications

RequiredNice to have

Skills

Financial ModelingExcelPowerPointRPythonQuantitative AnalysisStatistical AnalysisCash Flow AnalysisFinancial StatementsInterest RatesTime Value of MoneyFinancial MarketsBalance Sheet ManagementCommunicationStakeholder ManagementProcess Improvement

Qualifications

Bachelor's Degree in Business Administration or Equivalent

Full job description

Essential Duties and Responsibilities:

  • Support liquidity reporting, analysis, and governance activities, including management reporting, committee materials, and monitoring.

  • Support the ongoing sizing, analysis, and operational readiness testing of CFP actions, including funding capacity assessments and playbook documentation.

  • Assist with the execution, maintenance, and ongoing enhancement of the firm's ILST, including data collection, assumption calibration, model production, and results analysis.

  • Prepare recurring management reports, dashboards, and presentations for senior leadership, RJF Asset Liability Committee (ALCO), Liquidity Working Group, the Board of Directors, and other governance committees.

  • Support Liquidity Working Group administration, including agenda maintenance, reporting, and action items.

  • Monitor evolving regulatory guidance related to liquidity risk management and recommend updates to liquidity processes, policies, and documentation.

  • Partner with stakeholders across Treasury, Finance, Risk, and business units to gather information, resolve issues, and support liquidity governance processes.

  • Identify opportunities to enhance reporting, documentation, controls, and operational efficiency.

  • Support strategic initiatives related to liquidity risk management.

  • Support the annual review, maintenance, and enhancement of liquidity-related policies, standards, procedures, and governance documentation to ensure alignment with enterprise policies and regulatory expectations.

  • Perform other duties and responsibilities as assigned.

Knowledge of:

  • Fundamental financial concepts including cash flows, financial statements, interest rates, and the time value of money.

  • Basic principles of financial analysis, forecasting, and variance analysis.

  • Quantitative and statistical concepts used to analyze financial data and identify trends.

  • Financial markets and balance sheet management concepts.

  • Microsoft Office applications, particularly Excel and PowerPoint.

Ability to:

  • Coordinate multiple liquidity initiatives while managing competing priorities and deadlines.

  • Draft clear, concise, and professional committee materials, policies, and management reports.

  • Analyze financial and operational information to identify trends, risks, and process improvements.

  • Interpret policies, regulatory guidance, and governance requirements and communicate recommendations effectively.

  • Build strong working relationships across multiple business units and organizational levels.

  • Recommend process improvements that strengthen governance and operational effectiveness.

  • Exercise sound judgment when handling confidential and sensitive information.

  • Use Excel for financial modeling, data manipulation, and creating financial forecasts.

  • Communicate effectively, both orally and in writing, with all organizational levels, including senior leaders.

  • Prioritize and meet critical deadlines.

Education/Previous Experience:

  • Bachelor’s degree (B.A.) in Business Administration, preferably with a major in Finance or a related field.

  • OR

  • Any equivalent combination of experience, education, and/or training approved by Human Resources.

  • Experience with R, Python, or another statistical modeling program is a plus.

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