Forecasting and Analytics - Advisor (Flexible Hybrid)

Company Description

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you’ll have access to continuous learning, grow your career, and help create access to fair, affordable housing finance.

Job Description

As a valued contributor on our team, you will advise team on methods and processes for collecting, analyzing, and/or interpreting financial or operational information which could include trend analysis and identification of gaps and opportunities. In this role, you will advise on methods for valuing assets by assessing current conditions and recommend debt structures by analyzing refinancing options. 

THE IMPACT YOU WILL MAKE 

 The Forecasting and Analytics- Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities: 

• Recommend best strategy for performing budgeting, forecasting, variance analysis, and financial reporting and forecast challenge. 

• 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. 

Qualifications

Minimum Required Experiences 

•  6 years of experience in financial forecasting, challenge preferred 

Desired Experience 

• 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

• Art of story telling 

Additional Information

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.

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. At times, business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred unless job is noted as open to remote.

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at [email protected].

The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.