Risk Management - Wholesale Credit Loss Forecasting Associate
On-sitePlano, Texas, United States
Job Summary
Deliver portfolio analytics and reporting to support allowance and stress testing forecasts for commercial real estate exposures. Analyze scenario results and key loss drivers across multiple stress scenarios and monitoring cycles, while calculating and explaining core model behaviors and parameters. Track risk limit usage in partnership with credit officers and escalate emerging trends as needed. Support stress estimates for large transactions by compiling inputs, running analyses, and summarizing results. Run ad hoc scenario analysis for senior management based on evolving market conditions. Partner with lines of business and teams across risk, finance, model risk, quantitative research, technology, and data to align on assumptions and deliverables. Improve analytical workflows to increase efficiency, accuracy, and consistency of results. Contribute to model enhancements and results platform updates through testing, documentation, and feedback.
Required Qualifications
- Bachelor's degree in business, finance, accounting, or a related field
- 3 years of experience in financial services
- Knowledge of commercial real estate, including common benchmarks, market conditions, and underwriting metrics across property types
- Analytical skills in financial risk frameworks and portfolio monitoring
- Ability to work across diverse groups to understand requirements, build alignment, and execute agreed plans
- Strong written and verbal communication skills, including the ability to explain complex topics concisely for management audiences
- Strong attention to detail, ownership, and follow-through in time-sensitive deliverables
- Proficiency in Microsoft Excel, PowerPoint, and other Microsoft Office applications
Desired Qualifications
- Experience with credit loss accounting standards, including Current Expected Credit Loss and International Financial Reporting Standard 9
- Familiarity with regulatory stress testing frameworks and processes
- Experience with data visualization and analysis tools such as Tableau and Python
- Familiarity with using artificial intelligence tools to support analysis and reporting in a controlled environment
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