Multifamily Capital Markets Pricing Financial Engineering Associate Hybrid
2 weeks ago
We are seeking a highly skilled Financial Engineer to join our Multifamily Capital Markets team at Fannie Mae. As a valued colleague, you will play a key role in supporting the team in applying mathematical models, advanced tools, and financial industry knowledge to business or financial data.
Key Responsibilities- Document and Report on Data Analysis: Efficiently document and report on processing or analyzing large amounts of data using advanced financial engineering tools and techniques.
- Contribute to Financial Analysis and Forecasting: Contribute to financial analysis or forecasting, which may include scenario or sensitivity analysis, stress testing, or attribution analysis.
- Execute Models and Interpret Results: Participate in executing models and/or interpreting model results.
- Communicate Results to Customers: Assist with translating the results from the analysis or models for the customer into understandable conclusions.
- Model Development and Validation: Assist model builders to vet new models, suggest changes to existing models, or analyze model performance data.
- Data and Systems Analysis: Perform data and systems analysis, validation, and regression testing.
We are looking for candidates with a strong background in financial engineering, mathematics, and computer science. Desired qualifications include:
- Bachelor's degree or equivalent in a relevant field.
- Programming skills, including coding, debugging, and using relevant programming languages.
- Experience working with people from different functional expertise to achieve a common goal.
- Business insight, including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.
- Skilled in documentation and database reporting for analysis, data discovery, and decision-making.
- Experience gathering accurate information to explain concepts and answer critical questions.
- Skilled in cloud technologies and cloud computing.
- Experience analyzing data to identify trends or relationships to inform conclusions.
- Expertise in using statistical methods, including developing and testing hypotheses, using experimental design, and running linear and logistic regressions.
- Experience defining and managing changes to documents, code, computer programs, websites, and other files.
- Skilled in graphical representation of information using programs and tools like Excel, Tableau, or Power BI.
We use a range of tools and technologies, including:
- Bloomberg Professional.
- SQL.
- Tableau.
- Excel.
- Amazon Web Services (AWS) offerings, development, and networking.
- Microsoft Teams.
- R Language Programming.
- Java.
- Python object-oriented programming.
- JIRA.
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