Job Description
THE IMPACT YOU WILL MAKE
The Enterprise Risk Financial Engineering Advisor (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:
As a valued contributor on our team, you will advise the team responsible for 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.
- Provide guidance 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.
- Apply complex solution to 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.
- Provide advanced solutions to model builders to vet new models, suggest changes to existing models, or analyze model performance data.
- Analyze results from data and systems analysis, validation, and regression testing.
Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
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
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