Senior Capital Markets Financial Engineer & Advisor

The Fannie Mae; United States; Sur place; USD 141 000 - 184 000; Plein temps

Résumé du poste

The Fannie Mae is seeking a Capital Markets CFO - Financial Engineering Advisor to serve as a trusted advisor on complex financial data, models, and strategic decisions. You will interact with model developers, analysts, and stakeholders to translate technical insights into actionable business conclusions and provide guidance across large datasets.

Ideal candidates bring 6+ years in financial analysis or engineering, strong proficiency in Python, R, SAS, and a proven ability to vet and enhance

Qualifications

• 6+ years of experience in financial analysis/engineering or related field.
• Experience building, reviewing, interpreting, and challenging financial or quantitative models.
• Willingness to learn new tools, techniques, and business concepts; strong collaboration in fast-paced teams.

Responsabilités

• Provide guidance on processing, analyzing, and interpreting large and complex financial datasets using advanced financial engineering tools and programming techniques.
• Partner with internal customers to understand the intended use of analyses and tailor solutions accordingly.
• Apply analytical techniques to financial analysis and forecasting, including scenario and sensitivity analyses, stress testing, and attribution.
• Execute financial models and critically evaluate outputs, assumptions, and limitations.
• Translate model-driven results into clear, actionable insights for both technical and non-technical stakeholders.
• Vet new models, recommend enhancements, and analyze model performance and validation results.

Connaissances

Python

R

SAS

Financial analysis

Financial engineering

Quantitative analysis

Formation

Bachelor's Level Degree

Master’s degree in Finance/Economics/Mathematics/Statistics

Outils

SAS

Description du poste

The Fannie Mae is seeking a Capital Markets CFO - Financial Engineering Advisor to serve as a trusted advisor on complex financial data, models, and strategic decisions. You will interact with model developers, analysts, and stakeholders to translate technical insights into actionable business conclusions and provide guidance across large datasets.

Ideal candidates bring 6+ years in financial analysis or engineering, strong proficiency in Python, R, SAS, and a proven ability to vet and enhance