Industry · Financial Services
Financial Services
Regulated processes, reporting and data integrity across environments where controls, traceability and resilience are part of the product.
A number is only useful when it can be defended.
Financial services systems are judged by their ability to produce a consistent, explainable result under regulatory, commercial and operational scrutiny.
Regulatory and management reporting often depends on a chain of extracts, spreadsheets and manual adjustments. The result may be correct, but the path to it is fragile and difficult to evidence.
When source systems change, the reconciliation breaks. When an auditor asks for the lineage of a figure, the answer is reconstructed by email. When a key person leaves, the logic goes with them.
The remedy is a governed data and control environment: defined sources, tested transformations, visible lineage and an operating model that treats reporting as a controlled process, not simply a new reporting tool.
The failure points are usually at the joins.
These are the patterns we see most often in this sector. They are rarely solved by replacing a single application.
Manual reconciliation
Finance and risk functions spend days each cycle reconciling extracts and adjusting for known exceptions.
Opaque lineage
The path from source transaction to reported figure is undocumented or held in individual knowledge.
Change risk
A source-system change can alter a reported number without a clear impact assessment.
Audit evidence
Controls exist in practice but are not consistently evidenced in a form that supports review.
What we build in this sector.
We combine capabilities around the operating process rather than around a product category. The mix below is typical; the actual scope is shaped by the constraint.
- ('Regulatory reporting platforms', 'Controlled data pipelines, calculation logic and report generation with versioned rules.')
- ('Data lineage and controls', 'Source-to-report mapping, transformation tests, reconciliation checks and exception queues.')
- ('Finance and risk data models', 'Conformed entities, period logic and adjustment tracking designed for auditability.')
- ('Workflow and evidence', 'Structured review, sign-off and evidence capture for reporting and control activities.')
- ('Resilience and change management', 'Impact assessment, release controls and recovery arrangements for critical reporting services.')
How an engagement usually starts
A short discovery to map the process, systems and information flows, followed by a target architecture and a sequenced first release. The first release is chosen to prove the operating model, not just the technology.
Regulation is a design input.
Financial services obligations depend on the entity, the licence and the specific prudential or conduct requirements. We use them to structure controls, lineage and evidence; they are not a substitute for the entity’s regulatory advice.
- Prudential and conduct obligations relevant to the entity and the services it provides.
- Financial reporting, records retention and audit requirements.
- Privacy and confidentiality obligations for customer and counterparty information.
- Operational resilience and information-security expectations for critical services.
We do not treat regulation as a generic layer. We work with the client’s risk and compliance owners to identify the specific obligations, translate them into control requirements and evidence them through the platform’s normal operation.
What the work looks like on the ground.
Client details are withheld where confidentiality applies. The pattern and the operating lessons are representative of the engagements we undertake.
A financial services group was producing a monthly regulatory return from eleven source systems. The process involved a chain of extracts, spreadsheet transformations and manual adjustments, with a reporting cycle that took nine days.
We built a governed reporting data platform with source contracts, versioned transformation logic, reconciliation controls and a lineage view from reported figure back to source transaction. The finance function retained ownership of the rules; the platform made them visible and testable.
The first cycle ran in parallel with the existing process. Differences were investigated and explained, which built confidence before the manual process was retired. The parallel run was treated as a control, not a formality.
What clients ask us first.
Can you work with our existing reporting stack?
Yes. We can build a governed layer alongside existing tools, or replace the parts that create the most risk. The decision depends on the current control gaps and the cost of change.
How do you handle changing regulatory rules?
Calculation logic is versioned and tested. A rule change goes through impact assessment, approval and controlled release rather than an edit to a spreadsheet.
What evidence can be produced for auditors?
Source-to-report lineage, transformation tests, reconciliation results, change history and review sign-offs. The evidence is generated as part of the process, not assembled afterward.
Do you provide assurance opinions?
No. We provide technical implementation and evidence; formal assurance and audit opinions remain with the client’s appointed assurance providers.
What makes a reported number defensible.
A reported number is defensible when the organisation can explain its source, the transformations applied to it, the controls that validated it, the person who approved it and the period it covers. That is a data-lineage and control question, not only a reporting question.
The evidence should be produced as part of the reporting process, not reassembled when an auditor asks. A lineage view that is generated from the pipeline is more reliable than a spreadsheet that maps report lines to source systems after the fact.
We design reporting platforms so that the answer to “where did this come from?” is a traceable path rather than a meeting. The finance function retains ownership of the rule; the platform makes the rule visible and testable.
Building for a demanding environment?
Tell us about the operational, regulatory or integration constraints you are working within.