Job Description THE IMPACT YOU WILL MAKEAs 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 Senior Credit Risk Analytics Associate (Flexible Hybrid) 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:
Collaborate on 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.
Conduct 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 data and systems analysis, validation, and regression testing
Qualifications THE EXPERIENCE YOU BRING TO THE TEAMMinimum Required Experiences
2 years
Desired Experiences
Bachelor degree or equivalent
Masters or Other Advanced Degree in Economics, Finance, or Statistics
Experience with developing risk appetite limits and/or key risk indicators
Experience with mortgage credit analytics, economic capital and/or GSE regulatory capital framework
Proven ability to conduct quantitative analysis in order to assess risk and/or predict future trends
Strong experience in analyzing financial data to identify trends or relationships and influence risk decisions
Ability to work independently and create work plans to follow-up and accomplish large, unstructured tasks
Excellent verbal and written communication skill.
Strong stakeholder management skills
Skills
Risk Assessment and Management Skills
Key Risk Indicators Development
Sensitivity Analysis
Statistical Methods and Modeling
Financial Analysis
Data Analysis Interpretation
Data Visualization
Programming Skills
Tools
Excel
Tableau
SQL
R Language Programming
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].