Chief Control Office - Generative AI Advisor

Fannie Mae-posted 3 months ago
$138,000 - $180,000/Yr
Reston, VA
5,001-10,000 employees
Credit Intermediation and Related Activities
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As an Advisor in the Analytics & Modeling team, you will play a critical role in shaping the strategic direction of the organization through data-driven insights and recommendations. You will provide expert guidance on complex analytical projects, partnering with senior leadership to drive business transformation and innovation.

  • Provide strategic direction and thought leadership in the application of analytics and modeling techniques to address business challenges.
  • Lead cross-functional teams in the development and execution of division-wide analytical initiatives, ensuring alignment with organizational goals and objectives.
  • Serve as a trusted advisor to senior leadership, offering insights and recommendations based on data analysis and predictive modeling.
  • Drive continuous improvement efforts to enhance analytical capabilities and expand the use of analytics across the organization.
  • Represent the Analytics Modeling team in key internal forums, regulator, and industry conferences, sharing best practices and thought leadership in the application of analytics and modeling in Fannie Mae's business.
  • 6 years of experience in analytics and modeling.
  • Adept at managing project plans, resources, and people to ensure successful project completion.
  • Ability to frame ideas as systems and analyze the inputs, outputs, and process.
  • Experience gathering accurate information to explain concepts and answer critical questions.
  • Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand.
  • 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.
  • Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP).
  • Programming including coding, debugging, and using relevant programming languages.
  • Expertise in using statistical methods, including developing and testing hypotheses, using experimental design, and running linear and logistic regressions.
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data.
  • Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal.
  • Bachelor degree or equivalent.
  • 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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