Data Privacy and User Consent in Modern Fintech Apps
February 16, 2026, 6 min read
Data privacy is of great concern at the intersection of sensitive user data and technology. The rapid digitalization of services in various industries, including finance, opens the door for data leaks, theft, and even sale by platforms collecting the data.
Considering the frequency of privacy-related issues, consumers have every right to be concerned about how companies collect, use, and protect their data.
In fact, about 86% of Americans maintain that for them, data privacy is a growing concern, and 68% are concerned about the amount of data being collected by service providers, according to KPMG.
These concerns are more pronounced in industries like fintech, where service providers are custodians of deeply sensitive financial and personal data.
Rising user awareness and expectations around privacy, especially with increasing cyberattacks and third-party sharing in view, are more than enough reasons for fintech platforms to fortify their data collection and management processes.
However, there is a bit of conflict about how much data apps should collect to ensure optimum personalization and analytics while maintaining user trust.
So how can fintech apps collect data responsibly while empowering users?
What Data Fintech Apps Collect and Why
To collect and use data responsibly, emerging fintech companies have to first define what data they need to provide optimum services, as well as why they need the data.
Types of data commonly collected include:
- Personal identifiers: Collected as a first step for know your customer (KYC) compliance and for facilitating account creation and authentication. Includes personal identifiers (full name, phone number, email, DOB, valid ID), biometric data (fingerprints, face ID), and proof of address.
- Transactional data: Provides platforms with the ability to process payments, assess creditworthiness, monitor transactions, detect anomalies, and reconcile issues. Includes transaction history, linked account balances, income data, expense data, and merchant information.
- Behavioral and usage data: For detecting unusual behaviors, personalizing features, preventing account takeovers, and improving product designs. Includes app usage patterns, login frequency, and clickstream data.
- Device data: For enforcing geographic restrictions and fraud and risk detection. Includes device ID, IP address, and geolocation.
Others include custom support data, compliance data, and marketing data. The reasons for collecting data and the level of data collected may differ across fintech apps depending on relevant laws in the countries they operate in, as well as their broader marketing and service improvement goals.
The Regulatory Landscape Shaping Data Privacy
Data privacy in fintech is a function of both financial and technological service provisions. Hence, global data protection frameworks governing either or both of the scopes act as baselines for fintech operations.
Some of the major data privacy regulations across the globe include EU and UK GDPR, California Privacy Rights Act (CPRA), CFPB’s Personal Financial Data Rights Rule, and Personal Information Protecting Law (PIPL), among others.
These regulations also serve as the basis for emerging laws in state, national, and regional domains.
Generally, data privacy regulations address some common themes:
- Consent: This principle emphasizes that consumers can freely give and withdraw consent to the use of their data without going through ambiguous processes.
- User rights: This emphasizes the rights of users to access, correct, and delete their personal information permanently in a given platform.
- Purpose limitation: A data protection principle that requires platforms to collect data only for specific and legitimate purposes, as made explicit in their terms of use.
- Data minimization: Service providers should collect, process, and retain only truly necessary personal data for as long as it is truly needed.
Compared to social media, e-commerce, and entertainment apps, fintech apps handle more sensitive personal data and processes that could potentially destabilize businesses or even an economy if things go awry. Therefore, compared to other digital products, fintech apps usually face higher scrutiny from both financial and tech/data regulators.
Moreover, the cost of non-compliance for fintechs goes beyond fines. Getting involved in data breaches can signal weak governance to investors and unreliability to consumers, stripping the platform of any level of trust it had previously gained and possibly forcing it out of the market.
User Consent: From Legal Checkbox to Meaningful Choice
It is undoubtedly of the most benefit to fintech apps to be compliant with data privacy regulations. And compliance, in this sense, starts with obtaining users’ consent for the collection, use, and storage of their data during onboarding.
Traditionally, consent for personal data collection had less to do with user choice and more to do with ticking a legal checkbox. Apps often captured consent within difficult-to-understand legal documents with an “Accept all” CTA at the end, leaving no room for users to decide on the level of personal data they’d like to provide or allow a business to access.
As markets became more data-driven and users became more aware of data privacy concerns, as regulations evolved, transparent consent design started becoming the norm.
In most cases, users can now choose to make their personal information available to companies for marketing, UX, or third-party engagements.
Instead of blanket consent agreements of the past, flexible and informed consent designs allow for consent to be requested as the user navigates features that require the use of specific data for specific purposes, such as consent for location access only when opening a map tool.
It also helps that platforms are taking the extra step to break down their terms of use and consent requirements to be more understandable across languages and financial literacy levels.
Privacy by Design in Fintech Product Development
Following the shift from legal checkboxes to meaningful choices, ethical and responsible fintech firms embed privacy into app architecture and workflows, entrenching data privacy as a priority, not an afterthought.
Since data privacy as a strategy is incorporated throughout the development lifecycle, fintech apps can more easily implement:
- Secure storage, encryption, and retention policies
- Role-based access and internal controls
- Data minimization as a product decision
- Differential privacy in the continuous integration and continuous delivery pipeline
- Enterprise-wide consent orchestration
Embedding these frameworks at various layers of the architecture and workflow establishes privacy as a dynamic and core part of code and server logic, ensuring that user data is secured by default.
Data Sharing With Partners and Third Parties
Data sharing is a fundamental element in fintech operations, which typically involves intermediaries, including data aggregators, KYC providers, payment processors, cloud services, regulators, and banking partners.
As a result, fintechs integrate third-party APIs into their infrastructure and comply with relevant open banking policies to deliver their services efficiently and effectively.
These partnerships are why fintech apps can deliver faster yet cheaper international money transfers than traditional banks. Today, Americans can transfer money to Mexico, the Dominican Republic, Kenya, India, Nigeria, and other countries nearly instantly while enjoying better exchange rates and $0 fees.
If fintech apps have to share data with so many third parties, how then do they ensure data privacy across the board?
Privacy in data sharing is, by and large, a matter of responsibility and due diligence on the part of the fintech service provider.
Generally, responsible fintech platforms audit potential partners to ensure compliance with relevant regulations before engaging with them.
More so, the Gramm-Leach-Bliley Act (GLBA) of 1999 requires fintech companies to be transparent to users about their data sharing practices while providing clear pathways for users to opt out if they so wish.
Balancing Personalization With Privacy
Although about 70% of consumers expect tailored services from their financial service providers, many are still hesitant about trusting companies with their data. However, fintechs and other financial service providers require access to user data for optimum personalization.
Fintechs solve this conundrum by leaning towards privacy-preserving personalization strategies that give users control over personalization settings.
Purpose limitation controls ensure that accessible user data is strictly used for personalization, fraud prevention, KYC, and other processes as mandated by relevant regulators.
Additionally, modern privacy-enhancing technologies enable fintech apps to implement highly secure data anonymization and aggregations, as well as responsible analytics while leveraging available user data to personalize services.
Conclusion: Privacy and Consent as Foundations of Sustainable Fintech
Bearing in mind that they are operating in extremely competitive markets already dominated by traditional banks for decades, fintechs are incentivized to embrace trust as a tool for attracting and retaining customers.
For a start, fintechs can go the extra mile to embed privacy by design, ensuring that data security is a default across different layers of user flow.
For trust building, it is absolutely important to be transparent about how sensitive data is collected and used. Privacy notices should be clear and understandable to users from different backgrounds; skip the legal jargon.
Additionally, users should be made aware of data usage during critical moments, and access to such data should be halted once its purpose has been accomplished.
These measures make users feel informed and in control of their data, fostering trust in fintech apps and improving their success rate in target markets.
