Address Verification for Banks and Lenders
Accurate address data is a compliance requirement, not just a data quality preference. Semilariti provides UPRN-matched address verification that supports KYC, AML, and risk assessment workflows across financial services.
Why Address Data Quality Matters in Financial Services
For banks and mortgage lenders, address data is not just an operational concern — it is a compliance and risk issue. KYC and AML regulations require financial institutions to verify customer identity, and address verification is a core component of that process. Inaccurate or unverifiable address data creates compliance gaps that regulators increasingly scrutinise.
Beyond compliance, address data quality directly affects credit risk assessment, mortgage valuations, portfolio reporting, and fraud detection. A customer record with a poorly matched or unverified address is a record you cannot fully trust — and in a regulated environment, that has consequences.
How Semilariti Supports Financial Services
KYC Address Verification
Match customer-provided addresses against the authoritative AddressBase dataset and return the corresponding UPRN — providing a verifiable, auditable property reference for every customer record.
AML Compliance Support
UPRN-matched addresses are unambiguous property references that strengthen your AML due diligence records — demonstrating a higher standard of address verification to regulators.
Mortgage Portfolio Cleansing
Clean and UPRN-match your entire mortgage book — correcting inconsistencies, assigning authoritative property references, and preparing data for regulatory reporting.
Risk Assessment Accuracy
Precise property identification ensures that risk models — LTV calculations, flood risk assessments, property valuations — are working from accurately located, correctly identified properties.
Fraud Detection Support
UPRN matching can surface address inconsistencies that may indicate fraud — for example, a customer-provided address that does not match any real property in AddressBase.
Credit Application Processing
Validate and standardise address data at the point of credit application — preventing data quality issues from entering your systems and causing downstream processing errors.
Security and Compliance
Zero Data Retention
Address data is processed and immediately discarded. Nothing is stored on Semilariti's infrastructure after processing completes.
GDPR Compliant
Full compliance with UK GDPR requirements. Your customer data is never used for any purpose other than the matching request you submit.
End-to-End Encryption
All data in transit is encrypted. Semilariti uses enterprise-grade security infrastructure with 99.9% uptime.
Address Data Quality Across the Lending Lifecycle
Address data enters a lending organisation at multiple points — customer onboarding, mortgage applications, valuations, system migrations, portfolio purchases. Each of these entry points introduces the risk of inconsistency. At onboarding, a customer may type their address in a way that does not match the standard form in AddressBase. At application, a broker may submit the property address with a formatting difference from the address the lender's valuation panel uses. During a portfolio purchase, acquired records may carry addresses from a different system with its own formatting conventions. The result, over time, is a book of customer and property records where the same address may be represented in several different ways across different systems. Cross-referencing these records requires manual work. Risk assessments based on property location are less reliable than they should be. Regulatory reporting requires additional reconciliation time before submissions can be finalised. UPRN matching addresses this by assigning a single, permanent property identifier to every record — regardless of how the address itself was formatted at the point of entry.Supporting Vulnerable Customer Processes
Financial institutions have a specific obligation under FCA Consumer Duty to ensure their systems and processes work effectively for all customers, including those in vulnerable circumstances. Address data quality has a direct bearing on this. Customers who move frequently, who live in non-standard properties, or whose addresses are difficult to format consistently in standard systems are at greater risk of having their records mismatched or duplicated. A customer whose housing situation changes and whose address is not correctly updated across all systems may receive communicationsPractical Steps to Improve Address Data Quality
For financial institutions looking to improve address data quality, the practical starting point is a data audit — understanding what proportion of your existing customer and property records are correctly matched to UPRNs and where the biggest gaps are. Semilariti makes this straightforward. Export a sample or full extract of your address data, upload it, and review the match rate and confidence scores. This gives you a clear baseline: how much of your data is clean, how much needs work, and where the most significant quality issues lie. From that baseline, a remediation plan follows. For large backlogs of unmatched records, a bulk cleansing exercise can resolve the majority in a single batch. For ongoing quality control, real-time address verification at the point of customer onboarding prevents new dirty records from entering the system and avoids the need for repeated cleansing exercises on the same dataset.