Credit Risk Modeler
| Company | Raymond James Financial |
|---|---|
| Location | St. Petersburg, FL, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Mid Level |
Requirements
- Bachelor’s, Master’s, or PhD degree in Data Science, Statistics, Finance, Economics, or related fields.
- Minimum of 3 years of work or equivalent experience in credit risk analysis, financial modeling, or data science in a banking or financial services environment.
- Proficiency in statistical software (e.g., SAS, R, Python) and data visualization tools (e.g., Tableau, Power BI) for data analysis and modeling.
- Direct experience and in-depth understanding of Basel, CECL, and CCAR frameworks and regulatory requirements.
- Excellent analytical and problem-solving skills with the ability to interpret complex data and draw meaningful insights.
- High level of attention to detail and accuracy in model development, validation, and reporting.
- Ability to manage multiple projects and priorities in a fast-paced environment.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
- Strong interpersonal skills and the ability to work effectively both independently and as part of a team.
Responsibilities
- Develop and maintain various credit risk models (PD, LGD, EAD, PPNR, Stress Test Models, Challenger Models) using statistical and advanced data science techniques.
- Conduct model validation tests and performance monitoring to ensure accuracy and reliability.
- Ensure models comply with CECL and CCAR regulatory requirements and guidelines.
- Prepare and present model documentation, validation reports, and performance metrics to stakeholders, including senior management and regulatory bodies.
- Perform data extraction, cleaning, and analysis to support model development and validation.
- Conduct stress testing and scenario analysis to assess risk exposure under various economic conditions.
- Work closely with cross-functional teams, including risk management, finance, and IT, to integrate models into business processes and systems.
- Stay updated with industry trends, regulatory changes, and advancements in risk modeling techniques to continuously improve model performance and compliance.
- Provide support during internal and external audits and regulatory examinations by preparing necessary documentation and responding to inquiries.
Preferred Qualifications
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No preferred qualifications provided.