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Risk Analytics
Zylpe builds modeling and data attestation frameworks with extensive end-to-end modeling experience, so clients meet internal and external deadlines
Risk Analytics
Zylpe combine scale and speed with a deep understanding of financial and other regulations, and our cost-effective execution and fast-track delivery have helped companies dangerously behind schedule. Zylpe has reduced transaction fraud, improved loss forecasting models, and within 90 days rolled out multi-country models for BASEL compliance.
Capabilities
- Retail & commercial credit risk modeling
- Regulatory compliance
- Risk scorecard development, validation & maintenance
- Fraud monitoring & fraud system augmentation
- Monitoring & management of application approvals, credit line decisions, rewards provisioning
Identifying and quantifying risk will benefit any organization – transaction fraud for a credit card company, default risk for a mortgage firm, project delay risk for a construction company, patient readmission risk for a hospital, premium for insurers etc. Taking a unified approach by tying risks associated across an organization can give its leaders a holistic view that will help in two ways – bring in a slew of tactical risk mitigation measures, and strategic decision making at various levels that bakes in relevant risk.
Financial Risk
- Delinquency Modeling
- Credit Worthiness
- Transaction Fraud
- Billing Fraud
- Predictive Underwriting
- Risk-adjusted Premia
Operational Risk
- Early Warning Systems
- Supply Chain Risk
- Retail Shrink
- Patient Readmission
- Project Risk
POC Trials/Projects in 6 to 12 Weeks
Zylpe IoT provides Proof of Concept (POC Trials) of the Zylpe IoT Applications, Zylpe IoT Platform, and Zylpe Enterprise Data Lake on AWS or Azure. Trials range in cost based on duration and include Zylpe IoT professional services and AWS or Azure infrastructure services.