Strategy and Solutions

Zymr delivered a secure, cloud-based risk management MVP that integrated directly with the bank’s machine learning model to score loan applications in real time. We implemented role-based access controls to maintain strict data confidentiality and developed interactive dashboards to visualize credit, loan, and fraud risk. Audit logging was built into the system to support regulatory reporting and compliance checks, ensuring the tool met FFIEC risk assessment guidelines while remaining agile enough for future enhancements.

About the Client

A regional U.S. bank seeking to pilot a new machine learning-based risk scoring model for internal loan and credit assessment processes. The tool needed to be lightweight but secure enough for production-grade financial data.

Key Outcomes

Reduced manual review workload by 40%.

Enabled compliance with FFIEC risk assessment guidelines during the pilot.

Business Challenges

The bank’s existing risk assessment process relied on manual reviews, making it slow and inconsistent. For the pilot, they needed an MVP capable of integrating with their ML model, providing clear dashboards, and ensuring role-based access for different teams—all under strict compliance requirements.

Business Impacts / Key Results Achieved

The MVP successfully passed pilot testing and was greenlit for a full-scale rollout across the bank’s lending operations. Decision turnaround times improved by 25%, and model accuracy exceeded expectations in early trials.