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.  
THE IMPACT YOU WILL MAKEThe Sr. Financial Engineer 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:Join and work with a team of several analysts to assess and monitor credit risk on Fannie Mae’s $500 billion multifamily securitization book of business.Learn and execute proprietary in-house forecasting and pricing models developed in java, Python and R, and analyzing the results. Analyze loan level results provided by off the shelf forecasting application, typically thru tools such as Excel Pivot Tables, R, Python  Understanding and assessing the upstream input data including MF loan data flows, transformations, and how changes to the upstream data drive changes in credit forecastsQuantitatively analyze multifamily loan terms, products and securitizations through forecasts of NOI, Cap Rates, Interest Rates, Property PricesExecute deterministic what-if scenarios thru proprietary tools to understand impact on MF loan book. Synthesize results and document methodology in brief memos using Monte Carlo and other simulation techniquesImplement code changes to modify and/or extend in-house models, or to develop new models from scratchUnderstanding Multifamily loan securitizations and model their cash flows in Python and R. Perform discounted cash flow (NPV) analysis on forecasted loan structure cashflowsUnderstand, measure, communicate and document modeling assumptions, output transformations, and other modeling components drive the results of various analyses.Participate with a team in developing, executing, validating, and documenting proprietary valuation models and property price indexes. Work collaboratively with stakeholders (business, finance, risk, economists) to discuss options and arrive at a recommended approachSynthesize and share with management attribution and sensitivity analysis (attributing changes in model outputs to changes in inputs and assumptions, and understanding and documenting sensitivity of model outputs to changes in inputs and assumptions)Perform what-if or strategic analysis to investigate how contemplated changes to loan terms might impact the financial outcomes (capital, returns, pricing) for Fannie Mae and the borrower 
