Stress Testing Analyst - CCAR/CECL, Python

Currently, we are looking for talented resources for one of our listed clients. If interested please reply to me with your updated resume or feel free to reach out to me for more details at (949) 889-0336

Hybrid - 2 Days Onsite and 3 days Remote

Job Description:
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

About us:
At our organization, we take our mission and values to heart! We are on a mission to offer more and better jobs all over the world! Our goal is to care for you while you care for our clients and get you paid the highest pay possible. All our associates working with us are expected to embrace our RACE values: R - Results Matter, A- Approachable, C - Care, and E - Emergency i.e. work with a sense of urgency.

For more relevant job opportunities please visit our website: Denken Solutions Careers