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Fannie Maeposted 2 months ago
Mid Level
Washington, DC
Resume Match Score

About the position

As a valued colleague on our team, you will contribute to supporting the team in applying mathematical models, advanced tools or techniques (such as SAS, Python, and R), and financial industry knowledge to business or financial data, including model results. Your efforts will enable the team to analyze or report on business performance, solve business questions, or inform business decisions. Work may include developing models or prototypes to achieve these goals, but is not the core focus in the role.

Responsibilities

  • Collaborate on processing or analyzing large amounts of data efficiently using advanced financial engineering tools and techniques.
  • Determine customer's intended uses for a financial analysis or model.
  • Conduct capital analysis or forecasting, which may include scenario or sensitivity analysis, stress testing, or attribution analysis.
  • Execute models and/or interpret model results.
  • Translate the results from the analysis or models for the customer into understandable conclusions.
  • Work directly with model builders to vet new models, suggest changes to existing models, or analyze model performance data.
  • Perform data and systems analysis, validation, and regression testing.
  • Analyze corporate strategic plans, and assess capital and PnL implications.
  • Develop and implement metrics and methodologies for capital adequacy, allocation, and optimization strategies.

Requirements

  • Minimum 2 years of experience.
  • Skilled in Python, SQL, Excel, and Tableau.
  • Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand.
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data.

Nice-to-haves

  • Bachelor degree or equivalent.
  • Skilled in the graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI.
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal.
  • Experience gathering accurate information to explain concepts and answer critical questions.
  • Programming including coding, debugging, and using relevant programming languages.
  • Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.

Benefits

  • Broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being.
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