We develop quantitative models that generate accurate results for your business while meeting regulatory expectations from day one. Because a model that can't be validated is a model that can't be used.
Discuss Your ProjectToo many models are built in isolation from the teams that will validate, govern, and defend them. Our dual perspective — as both developers and validators — means we build models with full awareness of what examiners will look for. The result: models that perform well and pass validation without costly rework.
The KDOA advantage: Because our team validates hundreds of models each year, we know exactly what separates models that pass cleanly from models that generate findings. We build that knowledge into every development engagement.
We work with your business and risk teams to clearly define objectives, intended use, data availability, and regulatory context. A well-scoped project is a successful project.
Rigorous data quality assessment, feature engineering, and documentation. We establish the data foundation that determines model reliability.
Methodology selection, model estimation, and alternative approach evaluation. We document design decisions and their rationale for validation readiness.
Back-testing, out-of-sample validation, sensitivity analysis, and benchmarking. We challenge our own models with the same rigor we apply to validation engagements.
We coordinate implementation, develop ongoing monitoring programs, and establish performance thresholds and escalation procedures for sustained model health.
Every model we develop ships with comprehensive documentation that satisfies regulatory expectations and supports efficient validation cycles:
From scoping to implementation, our team will build a model that performs and withstands scrutiny.