Stress Testing Consultant
Contract: Irving, Texas, US
Salary Range: 65.00 - 70.00 | Per Hour
Job Code: 360580
End Date: 2025-05-04
Days Left: 28 days, 7 hours left
Position Details:
Industry: Banking Industry
Job title: Stress Testing Consultant
Location: Irving, TX 75039 Hybrid
Duration: 6 Months + Possible Extension
Shift hours: Mon - Fri: Std business hours
Start date: ASAP
Pay Range: $65/hr - $70/hr
Key Responsibilities:
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Execute monthly stress testing exercises to monitor Wholesale Credit Risk’s risk appetite and identify vulnerable areas
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Cover key process of rapid stress testing, overlays
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Provide analytics support to stress test models in wholesale products, connect the stress testing output to model drivers
Other Responsibilities:
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Build tools & analytical capabilities to support outcome analysis, loss forecasting reports and what if analysis
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Gather and analyze portfolio and macro-economic data to assess potential impact on business performance and integrate the trends to the portfolio loss forecast
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Partner with business units and risk managers to assess data availability and fit for purpose modeling approaches
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Interact with model developers, model risk governance, business risk, internal audit
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Leverage business / product expertise to evaluate and challenge the stress loss assumptions in hypothetical and historical stress scenarios
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Research on 3rd party data, loss history and alternative models to build inventory of benchmarks
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Contribute and refine current model performance monitoring process to interpret model output and identify opportunities for future improvements
Qualifications:
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5+ years' experience in stress testing (CCAR/DFAST), CECL, or loss forecast model development
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5+ years' experience with data analytical tools like Python or R
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Sound knowledge of C&I and CRE loss forecast modeling analytics, PD/LGD/EAD models, experience in HFS/FVO is preferred
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Demonstrated experience of building analytical tools to support the analysis of loss forecasting results, using tableau, Excel, R shiny or Python
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Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
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Proficient with MS Office suite, Word/Excel/PowerPoint.
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Knowledge on scenario design, sensitivity shocks and risk identification process
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Good interpretations and communications skills to convey complex quantitative methodology in simple terms
Education:
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Bachelor’s/University degree or equivalent experience, potentially master's degree in Economics, Finance, or quantitative majors
Job Requirement
- Stress Testing
- CCAR
- DFAST
- Loss Forecast
- Data Analytics
- Risk Identification
Reach Out to a Recruiter
- Recruiter
- Phone
- Rohit Roashan
- rohit.roashan@collabera.com
Apply Now
Apply Now
