Raymond James is looking to solve credit risk management problems by developing, validating, and maintaining credit risk models, including Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), Pre-Provision Net Revenue (PPNR), Stress Test Models, and Challenger Models.
Requirements
- 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.
- 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.
- Bachelor's, Master's, or PhD degree in Data Science, Statistics, Finance, Economics, or related fields.
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.
Other
- Bachelor's, Master's, or PhD degree in Finance, Economics, Statistics, Mathematics, or a related field.
- 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.
- Less than 10% travel required.
- This is NOT a remote position. The associate will be expected to work a hybrid schedule and be based in the St. Petersburg/Tampa Bay, FL area.
- Grow professionally and inspire others to do the same
