A borrower installs a loan app, enters a phone number, verifies identity details, and receives funds within minutes. The experience feels simple. Behind that process sits a large amount of personal data moving through different systems.
This exchange of data has become one of the defining features of digital lending. Loan apps rely on information to assess risk, prevent fraud, and make lending decisions quickly. At the same time, borrowers have become more aware of how their data is used, stored, and sometimes misused.
Across the world, regulators have responded by strengthening data privacy laws. In Europe, the General Data Protection Regulation established strict rules on how companies collect and process personal data. In Africa, the momentum has been equally significant.
As of January 2024, 36 of the 55 African Union member states, representing 65% of the continent, had enacted comprehensive data protection laws, with countries such as Nigeria, Kenya, and South Africa each introducing or expanding their own frameworks in recent years.
For lenders, these developments go beyond compliance checklists. Data privacy now shapes how loan products are designed, how borrowers are onboarded, and how risk decisions are made. It also affects trust. Borrowers who feel confident about how their data is handled are more likely to engage with a lender over time.
Many lenders, especially those building or scaling digital products, still have practical questions about how data privacy laws apply to their operations. The questions often come from real situations. What data can a lender collect during onboarding? How long should records be stored? What happens when a borrower asks for their data to be deleted?
This article addresses some of the most common questions lenders ask about data privacy in the context of loan apps.
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Why data privacy has become central to digital lending
Digital lending depends heavily on data. Traditional lending relied on physical documents, bank statements, and in-person verification. Digital systems replaced many of these steps with automated processes that analyze information from multiple sources.
A loan app may collect personal identification details, phone numbers, device information, transaction histories, and sometimes behavioral data such as how a user interacts with the application.
In African markets, where formal credit histories remain limited, lenders often turn to alternative data, including mobile money transactions, airtime usage patterns, or previous repayment behavior within lending platforms. These approaches expand access to credit, but they also increase the amount of personal data handled by lenders.
Several incidents involving misuse of borrower data have drawn strong regulatory attention. Research into the privacy practices of digital lending apps found evidence of apps using embedded trackers to profile user behavior and sharing that data with third-party analytics companies without adequately informing borrowers.
Some loan apps maintained continuous access to borrowers’ location data, far beyond what any underwriting decision could justify. Others accessed contact lists and used them to pressure repayment by contacting friends and family members.
In Kenya alone, the Office of the Data Protection Commissioner received 2,675 complaints by 2023, the majority linked to loan apps.
Regulators have responded by introducing rules that define how companies can collect, process, and store personal data. For lenders, the challenge involves balancing data usage for credit decisions with compliance requirements and borrower expectations.
What counts as personal data in loan apps?
Most data protection laws define personal data as any information that can identify an individual directly or indirectly. Nigeria’s Data Protection Act, which closely tracks the GDPR’s definition, describes personal data as any information relating to an individual who can be identified by reference to an identifier such as a name, an identification number, location data, or factors specific to their physical, physiological, genetic, psychological, cultural, social, or economic identity. Kenya and South Africa use similarly broad definitions.
In the context of loan apps, this covers obvious details such as names, phone numbers, email addresses, and identification numbers. It also covers less obvious information. Device identifiers, IP addresses, and location data qualify as personal data because they can link back to an individual.
Financial records, including transaction histories and repayment behavior, also fall within this category. Biometric data, used by some lenders for facial recognition or fingerprint verification during onboarding, receives additional protection under most privacy laws because of its unique and sensitive nature.
The practical implication for lenders is straightforward. Most of the information collected during onboarding and loan processing qualifies as personal data and must be handled with the full obligations that privacy law attaches to it.
What data can lenders legally collect?
Data privacy laws generally allow companies to collect personal data when there is a valid purpose and a clear legal basis for doing so. In lending, that purpose typically covers identity verification, credit assessment, fraud prevention, and regulatory compliance.
Lenders may collect identification numbers to verify a borrower’s identity, review transaction histories to assess repayment capacity, and analyze device data to detect suspicious activity.
Consent plays an important role in this process, but it does not justify unlimited data collection. Kenya’s Office of the Data Protection Commissioner’s guidance for digital credit providers is explicit: lenders must collect and process only personal data that is strictly necessary for their stated and disclosed purpose at the time of collection. This principle, known as data minimization, sits at the heart of every major data protection framework.
This has become particularly relevant because some loan apps previously requested access to contacts, photos, call logs, and continuous location data that had no legitimate connection to any credit decision.
Google has responded by establishing guidelines for loan apps on its Play Store that explicitly prohibit personal loan apps from requesting access to contacts, photos, storage, location, or phone numbers.
Regulators in Nigeria and Kenya now restrict these practices more strictly, and lenders who continue collecting unnecessary data face both enforcement risk and the practical problem of securing data they should never have held.
How should lenders store and protect borrower data?
Data protection does not end with collection. Storage and security carry equally important obligations. Loan apps typically store data across cloud infrastructure, third-party integrations, and internal tools used by support and risk teams. Each of those environments must be secured against unauthorized access.
Security measures typically include encryption of data at rest and in transit, access controls that limit who within the organization can view borrower records, and monitoring systems that detect unusual activity.
In African markets, lenders sometimes face additional infrastructure challenges, including reliance on third-party hosting providers whose own security standards may vary.
This makes vendor due diligence particularly important. A lender is responsible for the data protection practices of the processors it works with, and a breach at a vendor’s level does not relieve the lender of its regulatory obligations.
Ghana’s Data Protection Act requires all data controllers to register with the Data Protection Commission before processing any personal data, and organizations that process data unlawfully or violate data protection principles face fines of up to 5,000 penalty units, currently GHS 60,000, or up to ten years imprisonment.
Regulators across the continent may also require lenders to report data breaches within a specified timeframe. Building secure systems from the beginning is considerably less costly than responding to a breach and a regulatory investigation simultaneously.
How long should lenders keep customer data?
Data retention is a common source of confusion and a frequent compliance gap. Lenders often need to retain data for operational and regulatory reasons, including audits, dispute resolution, and financial reporting obligations. Anti-money laundering requirements in most African jurisdictions require transaction records to be retained for at least five years. These are legitimate grounds for retention.
At the same time, data privacy laws discourage retaining personal data longer than necessary for the purpose it was collected. The default behavior on many lending platforms, in the absence of a deliberate retention policy, is to retain everything indefinitely. That creates unnecessary security exposure and puts lenders in conflict with the storage limitation principles in the laws they operate under.
The practical approach is to set clear rules for how long each type of data is kept. Identity documents, loan records, repayment histories, and rejected application data all have different appropriate retention periods, and each should be treated accordingly.
Setting up automatic deletion or anonymisation when data reaches the end of its retention period is not a complicated technical task. What it requires is a deliberate decision to build that process into the platform from the start, and to revisit those retention rules periodically as regulations change.
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What rights do borrowers have over their data?
Data privacy laws give borrowers real rights over their personal information, and lenders need to have processes in place to handle them. Those rights typically include the ability to see what data the lender holds on them, to correct anything that is wrong, and in some cases to request that their data be deleted.
When a borrower asks to see their data, the lender must be able to produce it in a clear, readable format. When a borrower spots an error, the lender must be able to update it. Deletion requests need more careful handling.
An active loan agreement or a regulatory record-keeping requirement may mean the lender cannot delete everything a borrower asks for. In those situations, the lender should be able to explain clearly what can be deleted immediately and what must be kept, and for how long.
A good example of how this plays out in practice comes from the United Kingdom. After the GDPR came into force, the Financial Conduct Authority reported a sharp rise in data subject access requests to financial institutions, including lenders, with many firms initially struggling to respond within the one-month deadline the regulation requires.
Several were investigated for delays. The lesson was straightforward: handling these requests well is not just a legal obligation, it is a signal to both borrowers and regulators about how seriously the lender takes its data responsibilities. Responding promptly and transparently builds trust in a way that very few other compliance activities do.
How do data privacy laws affect credit scoring?
Credit scoring is central to how digital lending works, and data privacy law applies to it directly. The data used in scoring must be collected lawfully, and the scoring process must avoid discriminatory outcomes. Beyond those requirements, borrowers increasingly have the right to understand and challenge decisions that affect them.
Under the GDPR, a lender that uses an automated system to approve or reject loan applications without any human involvement may be breaking the law. Borrowers have the right to ask for a human to review the decision, share their side of the situation, and challenge the outcome.
A 2023 ruling by the Court of Justice of the European Union made this even clearer. The case involved German credit agency Schufa, and the court found that automatically calculating a credit score counts as automated decision-making under the GDPR when a lender relies heavily on that score to approve or reject a loan. Importantly, the ruling applied to the credit agency producing the score, not just the lender using it.
For lenders using alternative data in their scoring models, the practical takeaway is simple. If a borrower is declined, the lender should be able to explain why in plain language. A scoring model that works well statistically but cannot be explained to the person it affects creates real compliance risk, and in markets where borrowers have a legal right to reasons, that risk is not theoretical.
What about third-party integrations and APIs?
Modern loan apps depend on third-party services for payments, identity verification, credit bureau checks, and analytics. Each integration introduces data sharing that carries its own compliance obligations.
Lenders must ensure that third-party providers follow appropriate data protection standards. This typically means reviewing each provider’s data processing practices before integrating them, and formalising the relationship through a data processing agreement that specifies what data is shared, for what purpose, how it is protected, and what happens in the event of a breach.
Nigeria’s NDPA requires Data Controllers and Processors of Major Importance to register with the Nigeria Data Protection Commission and conduct annual data protection audits, obligations that extend to how those controllers manage their third-party relationships.
APIs must be secured to prevent unauthorized access. An unsecured API endpoint that exposes borrower records is a data breach regardless of whether it was intentional, and the lender bears responsibility for the exposure. Regular security testing of API integrations is not optional for a lending platform handling sensitive financial data at scale.
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Can lenders use borrower data for marketing purposes?
Borrower data collected for credit assessment cannot automatically be repurposed for marketing. Lenders must obtain clear, separate consent before sending promotional messages, and that consent must be distinct from the core service agreement that the borrower signed to access the loan product. A borrower who consents to data processing for credit assessment has not thereby consented to receiving marketing communications.
Borrowers must also be able to opt out of marketing at any time, and when they do, that decision must be respected immediately across every channel, whether SMS, email, or in-app notifications. A borrower who opts out and still receives messages the following week has a legitimate complaint, and regulators treat that kind of lapse seriously.
Beyond the regulatory risk, there is a straightforward commercial one. A borrower who finishes repaying a loan and then receives marketing messages they never asked for is unlikely to come back. How a lender behaves after the loan ends shapes whether the borrower considers them trustworthy enough for the next one.
What happens if a borrower withdraws consent?
When a borrower withdraws consent, the lender must stop using their data for anything that depended on that consent. That does not mean all data processing stops entirely. A lender can still process data that is required to manage an active loan, meet anti-money laundering obligations, or maintain records that regulators require. Those activities rest on legal grounds that exist independently of the borrower’s consent.
The practical challenge is knowing which data activities fall into which category. Lenders who have never mapped out what legal basis they rely on for each type of data processing tend to struggle when a borrower withdraws consent, because they cannot quickly determine what they are still allowed to do. That confusion creates both operational problems and regulatory risk at the same time.
The solution is to build a data processing register before it becomes urgent. This is a simple internal document that lists every type of data the lender collects, what it is used for, and which legal basis justifies that use, whether consent, contractual necessity, legal obligation, or legitimate interest.
When a borrower withdraws consent, the team can refer to that register immediately, stop the activities that depended on consent, and continue the ones that do not, without guesswork.
It also makes it significantly easier to respond to regulators if they ever ask how the lender handles withdrawal requests. Most data protection frameworks, including Nigeria’s NDPA and the GDPR, expect organisations to be able to demonstrate this kind of accountability, not just claim it.
Are lenders allowed to share borrower data with credit bureaus?
Yes, but with conditions. Sharing borrower data with credit reference bureaus serves a legitimate purpose: it strengthens the credit information ecosystem, helps other lenders make better decisions, and ultimately supports access to credit for borrowers with strong repayment histories.
Most data protection frameworks permit this sharing where borrowers have been informed about it and where the information reported is accurate.
Ghana’s Credit Reporting Act is explicit on this point: a financial institution cannot submit any borrower information to a credit bureau unless it has obtained the prior written consent of the borrower, covering both the submission of the information and its storage, processing, and dissemination by the bureau.
That is a higher consent standard than many lenders apply in practice, and it reflects a broader principle that bureau reporting is not automatic simply because a lender has a relationship with a borrower. Lenders must also ensure that data reported to bureaus is accurate and up to date.
Reporting incorrect information that damages a borrower’s credit standing without justification is a privacy violation and a consumer protection issue, and regulators in multiple markets have acted against lenders who reported inaccurate bureau data.
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How should lenders handle data breaches?
A data breach is not just a technology problem. It is a regulatory event with deadlines and obligations that start the moment the lender becomes aware of it. Most data protection frameworks require the lender to notify the relevant regulator within a set period. Under the GDPR, that window is 72 hours.
Where the breach puts affected individuals at serious risk, those individuals must also be notified directly. Similar notification requirements exist under Nigeria’s NDPA and across several other African frameworks, and regulators have become more willing to act against organisations that delay or fail to report.
For loan apps, the data at risk in a breach tends to be particularly sensitive. Identity documents, financial records, and loan histories in the wrong hands can cause real harm to borrowers, from identity theft to targeted fraud. That makes preparation more important, not less.
Lenders should have a documented plan that covers how breaches are detected, who decides when to notify regulators, what the timelines are in each market the lender operates in, and how affected borrowers will be reached.
A lender that discovers a breach and has to figure all of that out under regulatory pressure will spend considerably more time and money than one that had the plan ready before it was needed.
Do data privacy laws apply to small or early-stage lenders?
Yes. Data privacy laws apply regardless of company size or stage of development. A lending startup processing borrower data is subject to the same core principles as a large institution. Nigeria’s NDPA, for example, applies penalties to all data controllers and processors, with fines for entities not classified as major importance set at the greater of NGN 2 million or 2% of annual gross revenue. The size of the fine scales with revenue, but the obligation to comply does not.
Building good data practices early is much easier than fixing them later. Lenders that design their data collection, storage, and retention processes with privacy in mind from the beginning avoid the expensive and disruptive work of rebuilding systems that were never built to handle compliance in the first place. Getting it right at the start takes far less effort than getting it right under pressure.
How do cross-border operations affect data privacy compliance?
Operating across multiple countries introduces genuine complexity. Different jurisdictions have different requirements for what data can be collected, how it must be stored, whether it can be transferred across borders, and what happens when something goes wrong.
A lender operating in Nigeria, Kenya, and Ghana simultaneously must comply with three distinct regulatory frameworks that share common principles but differ in their specific requirements.
Data localisation requirements add another layer. Some jurisdictions require that certain categories of personal data be stored on servers physically located within their borders. A lender using a single cloud hosting provider for all its markets may unknowingly be routing data through servers in a jurisdiction that the borrower’s home country does not permit.
The solution starts with a data flow map. This is a document that traces exactly where borrower data goes at every stage of the loan lifecycle, from onboarding through repayment and eventual deletion, including which countries that data passes through and where it is stored.
Once a lender has that map, it becomes possible to check each data flow against the requirements of every jurisdiction involved and identify where gaps exist.
Many lenders also appoint a dedicated compliance lead or work with a local legal partner in each market they operate in, rather than trying to manage multi-jurisdiction requirements from a central team that may not be close enough to each regulatory environment.
Like the data processing register discussed earlier, the data flow map is not a one-time exercise. Regulatory frameworks across Africa and beyond are still evolving, and what is compliant today may need to be reviewed again in twelve months.
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Can lenders use automated decision-making without human review?
Automated credit decisions are central to how digital lending works, and data protection law generally allows them, but with important conditions attached. Under the GDPR, borrowers have the right to ask for a human to review any automated decision that significantly affects them, share their side of the situation, and challenge the outcome. A rejected loan application is exactly the kind of decision that triggers that right.
The European Commission is clear on what this means in practice: a lender using an algorithm to approve or reject loans must be able to review that decision before telling the borrower, and must inform the borrower that they can push back and request a human review. For lenders using alternative data in their scoring models, this has a direct implication.
If a borrower is declined, the lender should be able to explain why in plain language, not just point to a score. A model that produces accurate results but cannot be explained to the person it affects creates real compliance risk in any market where borrowers have a legal right to an explanation
What should lenders actually do about data privacy?
Having a privacy policy and actually running a privacy-compliant operation are two different things, and regulators have become very good at telling them apart.
The most important place to start is deciding what data the platform actually needs before it is built. A short-term loan decision rarely requires five years of transaction history or continuous access to a borrower’s location.
Collecting only what is necessary makes the platform simpler to secure and removes the risk of a regulator asking why data was collected that had no clear purpose.
Retention is where many lenders quietly fall short. Without a deliberate policy, most platforms end up keeping everything indefinitely. That creates unnecessary security risk and puts the lender in conflict with privacy laws that require data to be deleted once it is no longer needed.
Setting up automatic deletion when data reaches the end of its retention period is not a complicated task. It just needs to be built in from the start.
Staff training matters, but only when it is specific enough to be useful. A collections agent who does not know that passing a borrower’s details to a third party without consent is a legal violation, not just a policy issue, is a genuine risk.
Training that uses real examples from the markets the lender operates in is far more effective than a generic annual compliance session that nobody remembers a week later.
Finally, lenders who treat data privacy as part of the borrower experience rather than a back-office task tend to see better retention. Borrowers who feel they were treated honestly, who understand how their data is being used, and who trust that it will not be used against them, are more likely to come back.
In markets where lenders are competing hard for the same borrowers, that trust is not just a compliance outcome. It is a commercial one.
