Position Details  

Client: Banking  

Title: Risk Mangement   

Location: Irving, TX 75039 (Hybrid) 

Duration: 7 months + Possible extension  

Schedule: Shift hours: Basic Business Hours  

Start Date: ASAP 

Pay Range: $75/hr - $78/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