Data orchestration for financial institutions.

Risk, finance, and regulatory data movement on a governed fabric. BCBS 239 lineage, SR 11-7 model inputs, and evidence-grade quality controls.

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Overview

Data orchestration infrastructure for financial institutions, built to the standard institutions in this sector are required to operate.

XVICA designs, builds, and operates this layer for financial institutions clients in the UK, US, Canada, and Australia. The work is specified against the regulatory regime, the operational profile, and the examination expectations of this sector before any code is written.

01Why it matters

What financial institutions cannot get wrong here.

A regulator asks where a number came from. Every hop must be answerable.
Model inputs must be traceable to primary source at the moment the model ran.
PII leaves regulated boundaries when a pipeline is silently rewritten.
Data quality failures propagate into finance close and regulatory returns before anyone notices.

02Regulatory posture

Named regimes, mapped controls

Regulatory requirements are translated into explicit control requirements, then mapped to tests and evidence collection. Nothing is implied.

Risk & data

BCBS 239 risk data aggregation, SR 11-7 model risk management, EBA guidelines on outsourcing and ICT risk, and FRTB data lineage where applicable.

Privacy & residency

UK GDPR, EU GDPR Article 30 records of processing, Schrems II-aware cross-border transfer, and sovereign-cloud constraints where applicable.

Reporting regimes

COREP, FINREP, MiFID II transaction reporting, EMIR trade reporting, and jurisdiction-specific equivalents — each with its own lineage requirement.

03Reference architecture

Design decisions distinctive to this intersection

Components and design choices that recur across our work for this sector. Each deployment is specified individually.

Column-level lineage

Every transformation emits structured lineage. Queryable from source column through to the number in a regulatory return.

Policy-as-code access

Access rules expressed in version-controlled policy. Changes reviewed like code; evidenced like code.

Tagging at ingestion

PII, regulated, and purpose-restricted fields tagged at the earliest point they enter the platform. Tags travel with the data.

Warehouse-neutral

Works on Snowflake, Databricks, BigQuery, Redshift, Azure Synapse. Customer keeps the compute decision.

Contract-tested pipelines

Every downstream consumer declares an explicit contract. Breaks are caught at the producer, not in a finance close.

04XVICA's approach

How we work in financial institutions.

Financial-services data work fails in the same place it always fails: at the question 'where did this number come from, exactly?' We build the answer in before anyone asks. Every field is tagged at ingestion, every transformation emits lineage as a first-class artefact, and every downstream consumer is held to an explicit data contract. That discipline changes the economics of regulatory response: a BCBS 239 query, an SR 11-7 model input review, a COREP reconciliation — each becomes a query against the platform rather than a week of engineering archaeology. It also compresses the time between a data quality issue and its detection, which is typically where material restatements and regulatory notifications originate.

05Engagement