Financial services

Audit-ready data ingestion for financial services.

Code-native, validation-friendly ingestion for regulated data. Built on dlt, run on dltHub.

Financial services teams building on dltHub

For financial services

Pipelines your auditors can actually audit.

dlt pipelines are code-native and version-controlled, and the dltHub context catalog carries the lineage. Mapped to SR 11-7, SOX ITGC, and BCBS 239.

  • SR 11-7
  • SOX ITGC
  • BCBS 239
  • SEC/FINRA 17a-4
  • DORA
Change control auditors already know
Git history, CI gates, pinned releases. No click-ops.
Reproducible for SR 11-7
Versioned, tested pipelines with the documentation model validation asks for.
End-to-end lineage for BCBS 239
Source to RAW to model-ready, traceable at every hop.
Straight into Snowflake
Core banking systems, market feeds, and APIs.
One artefact, one evidence trail
Validate the pipeline; the catalog holds the evidence.

The validation workflow, in three commands

  1. Pin the validated baseline

    git tag validated/market-feed@2.1.0

    tag created · this exact code is what auditors review

  2. Prove it behaves the same every run

    pytest tests/behavioural/

    187 passed · reproducible, deterministic output

  3. Open the evidence trail

    dlthub show

    run history, schema contracts, lineage · your audit record

Snowflake Premier Partner for Financial Services

dlt consolidates data from core banking systems, market feeds, REST APIs, SQL databases, and files into Snowflake; dltHub runs it as managed infrastructure in your own environment. The 30-day POC ships with the evidence pack your Model Risk and SOX teams review, and Snowflake stays your orchestrator of record.

What the 30-day POC delivers

One regulated source into Snowflake, in your own environment, time-boxed to 30 days. For example one core-banking table, a market feed, or a risk dataset. The output is a reusable template, not a bespoke pilot.

A validated baseline

The pipeline itself, ready for Model Risk and SOX review.

  • dlt pipeline pinned to a git tag
  • Behavioural test suite proving deterministic input to output

An audit-ready evidence pack

Generated by the run and mapped to SR 11-7, SOX ITGC, and BCBS 239.

  • Test results, schema contract, and release notes
  • Object-level lineage in the dltHub context catalog

A pattern you can repeat

Pipeline two to ten gets cheaper, not equally expensive.

  • Snowflake-as-orchestrator trigger pattern
  • Vendor-risk pack for your third-party register
  • A template your next pipelines inherit

How dltHub maps to your frameworks

How does dltHub support SR 11-7 model risk management?

SR 11-7 asks your model validation team for reproducibility and documentation. dlt pipelines are versioned code with deterministic behavioural tests, and the dltHub context catalog records lineage from source to model-ready data. Validation stays your process; dltHub produces the artefacts it reviews.

How does dltHub fit SOX ITGC change control?

Change management runs through the controls your auditors already test: pull requests, CI gates, and releases pinned to a git tag. Every production run is traceable to the exact code version that produced it, with run history as the change record.

How does dltHub help with BCBS 239 lineage and data quality?

The dltHub context catalog records object-level lineage, schema contracts, and run state at every hop from source to RAW to model-ready. That gives risk aggregation reports a traceable path back to origin.

Does dltHub meet SEC/FINRA 17a-4 record-keeping requirements?

Your records stay in your storage: dlt loads into your Snowflake or warehouse, where your existing retention and WORM controls apply. dltHub adds the run history and lineage that document how each record was produced.

How does dltHub support DORA?

DORA applies to you as the financial entity; dltHub supports your ICT risk management with observability, alerting, and run history, plus a vendor-risk pack (SOC 2, architecture, data handling) for your third-party register.

Scope your FS POC

Bring one source and one stakeholder from Model Risk or SOX. We map the validation package to your framework before any code runs.