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 colleague on our team, you will provide expert advice and guidance to the team responsible for applying mathematical models, advanced tools or techniques (such as R, SAS, SQL), 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 will include developing  metrics from model outputs to achieve these goals. 

THE IMPACT YOU WILL MAKE
The Financial Analyst Lead Associate 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:

• Develop approach to 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.
• Lead financial 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 advanced data and systems analysis, validation, and regression testing.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 4 years

Desired Experiences

• Bachelor degree or equivalent

Skills

• 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 forecasting, predicting, and monitoring financials with an understanding of key accounting concepts and principles.
• Knowledge or experience of fixed income, accounting, and corporate finance
• Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
• Experience gathering accurate information to explain concepts and answer critical questions
• Communication skills including communicating in writing or verbally, planning and distributing communication, etc.
•  Relationship Management including managing and engaging stakeholders, and customers
• Business Insight including advising, designing business models, interpreting model results and market events, forecasting, benchmarking, etc.
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• Skilled in the graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI
• Ability to frame ideas as systems and analyzing the inputs, outputs, and process
• Experience identifying measures, or indicators of system performance, and the actions needed to improve or correct performance to achieve desired outcomes
• Influencing skills including negotiating, persuading others, facilitating meetings, and resolving conflict

Tools

• Skilled in R Language Programming
• Skilled in SAS
• Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
• Skilled in RStudio to develop programs in R
• Skilled in Excel