Model Validation
7 days ago
Job Title: Stress Testing Analyst
Location: Irving, TX 75039 (Hybrid 3 days onsite)
Duration: 06+ months’ Contract
Stress Testing roles – identical roles for 2 diff cities: Irving working with team & NYC working with him directly
Team consists of 6 perm w/ 2 rotational analysts, asking for 3 more headcount
These contractors are needed to supplement production need through June 2025. Will keep them as long as he can but considering them short-term coverage until FTE roles can be secured next year; LZ did mention that they can convert someone from this role into Perm if they’re adding value.
They are responsible for monthly Stress Testing computations required by consent order.
Need someone who understands the business & communicate how the #s are being used by the business & what it means
Group is responsible for monthly CCAR calculation & do a reconciliation every 2 weeks every month
Understand stress testing model calculations, business implications of financial metrics, overlay calculation adjustments, and support monthly stress testing by helping to build analytics.
The role requires a blend of business understanding, analytical skills, and technical skills.
MUST HAVES:
• Need someone with a combination of 3 key skillsets in order of importance: 1-Quant, 2-Finance, 3-Technology
• Must have experience in stress testing within wholesale credit space; will also consider consumer credit experience.
• Experienced in Risk management, CCAR, CECL
• Model validation experience is beneficial, but understanding stress testing from a business logic perspective is critical Very good understanding of the calculation model, what the numbers really mean: good technical & strong w/ those numbers
• Stress testing, model validation helps but not required
• They use Tableau, Python for data manipulation & computations – nice to have for handling large data sets (3 million records per scenario) beyond spreadsheet capabilities
• Stress testing implementation experience is helpful
• A bachelor’s degree in finance, quantitative engineering, or a related STEM field is acceptable
Key Responsibilities:
• Execute monthly stress testing exercises to monitor WCR’s risk appetite and identify vulnerable areas
• Cover key process of rapid stress testing, overlays
• Provide analytics support to stress test models in wholesale products, connect the stress testing output to model drivers
Other Responsibilities:
• Build tools & analytical capabilities to support outcome analysis, loss forecasting reports and what if analysis
• Gather and analyze portfolio and macro-economic data to assess potential impact on business performance and integrate the trends to the portfolio loss forecast
• Partner with business units and risk managers to assess data availability and fit for purpose modeling approaches
• Interact with model developers, model risk governance, business risk, internal audit
• Leverage business / product expertise to evaluate and challenge the stress loss assumptions in hypothetical and historical stress scenarios
• Research on 3rd party data, loss history and alternative models to build inventory of benchmarks
• Contribute and refine current model performance monitoring process to interpret model output and identify opportunities for future improvements
Qualifications:
• 5+ years' experience in stress testing (CCAR/DFAST), CECL, or loss forecast model development
• 5+ years' experience with data analytical tools like Python or R
• Sound knowledge of C&I and CRE loss forecast modeling analytics, PD/LGD/EAD models, experience in HFS/FVO is preferred
• Demonstrated experience of building analytical tools to support the analysis of loss forecasting results, using tableau, Excel, R shiny or Python
• Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
• Proficient with MS Office suite, Word/Excel/PowerPoint.
• Knowledge on scenario design, sensitivity shocks and risk identification process
• Good interpretations and communications skills to convey complex quantitative methodology in simple terms
Education:
• Bachelor’s/University degree or equivalent experience, potentially master's degree in Economics, Finance, or quantitative majors
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