Stress-Test Modeling

We worked with a regional bank to build automated stress-testing models that simulate adverse economic scenarios and assess portfolio resilience — meeting regulatory requirements while reducing the manual modeling burden on their risk team.

The challenge

The bank's stress-testing process was heavily manual — risk analysts spent weeks each quarter building Excel models, running scenarios, and compiling reports. The process was error-prone, hard to audit, and left little time for the team to actually analyze results and develop risk mitigation strategies.

What we built

We built an automated modeling pipeline that ingests portfolio data, applies regulatory and custom stress scenarios, and generates comprehensive reports. The system handles scenario generation, sensitivity analysis, and visualization — and produces audit-ready documentation that satisfies regulatory requirements.

Results

• Quarterly stress-testing cycle reduced from 6 weeks to 3 days
• Full audit trail for every scenario and assumption
• Risk team now spends 80% of their time on analysis instead of modeling