Financial Data Architecture and Workflow Engineering

Data architecture for institutional financial workflows.

Markets IQ connects source systems, documents, models, and external records to the controls and calculation engines that institutional decisions require. We build the data model, ingestion, validation, lineage, workflow states, and evidence path beneath the final application.

The Practice

The layer between source data and institutional decisions

Analytics teams work with available data. Application teams build interfaces and business logic. Markets IQ engineers the layer that makes the underlying records consistent, traceable, and reproducible: source capture, shared identities, mappings, reconciliation, calculation versions, exceptions, approvals, and controlled outputs.

Explore Engineering →
Architecture

One engineering path from source to output

Source records pass through ingestion, identity resolution, a reference data model, validation and reconciliation, domain calculations, review workflow, and controlled output. Versioning, lineage, permissions, exceptions, and approvals apply across the path.

Examine the Architecture →
Governance

Controls stated precisely

Each engagement defines the source, access, retention, review, change, and output controls required by its workflow. Public claims remain limited to implemented and contractually supported practices.

Review Governance →
Contact

Start with the workflow that matters.

Describe the decision or output, the information behind it, and the review obligation it carries.