Forecasting and Analytics Advisor

Summary

Join our team at Fannie Mae as a Forecasting and Analytics-Advisor to advise on methods for collecting, analyzing, and interpreting financial information, and make a difference in the housing industry.

Requirements

• 6 years of experience in financial forecasting, challenge preferred
• Bachelor degree or equivalent
• Experienced with R and SQL
• Experienced with Rshiny and Tableau
• Comfortable working in Data Science and Domino
• Familiar with different data visualization techniques
• Experience with Python is a plus
• Proficient in communication (verbal, written, etc.)
• Comfortable presenting to different stakeholders

Responsibilities

• Recommend best strategy for performing budgeting, forecasting, variance analysis, and financial reporting
• Analyze financial input data from different departments
• Analyze models output and other data to strengthen the forecast challenge
• Develop financial data integrity checks and algorithms to summarize and convert financial data
• Perform financial data analysis in preparing Profit Loss (PL) Statements or other financial statements
• Perform stress testing challenge using modeled outputs, data sourcing, reporting and analytics, supporting the business on any adhoc analyses, budgeting, board reporting
• Source and analyze data for business analytics, including scenario and attribution analysis, what-if analysis, time series trending, drill down analysis, break-even analysis and identification of business drivers

Benefits

Fannie Mae is a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired