What are the responsibilities and job description for the Stress Testing Consultant position at Collabera?
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: $70-$75/hr
Key Responsibilities:
Other Responsibilities:
Qualifications:
Education:
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: $70-$75/hr
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
Salary : $70 - $75
