It takes a million transactions to build trust and one to ruin it. To pile on the problems modern fintech products must face, they not only handle money but also users’ personal data, time, and expectations. Juggling all of that requires planning and testing, testing, testing. In the testing phase, it’s encouraged that everything fails so it can be reliably rebuilt and shipped to production as flawlessly as possible.
Why Is Fintech Software Testing So Challenging?
Two reasons: AI and human error. AI is a tool, and like any tool, its usage depends on the user. Malicious attackers will use AI to probe, chip, and find their way to worm into your fintech app. At the same time, a regular user can make an honest mistake and cause a catastrophe.
Also, a test may not be comprehensive enough (calling for an update), tight deadlines lead to forced crunch, and mistakes happen under pressure. Phishing attempts with brand impersonation can harm even the best of us, or the problem is as simple as a lack of funds.
One thing is certain — even the smallest of defects in the security code can cause a security cascade, affecting multiple (or all) transactions, loss of account access, and eroding customer trust.
Banks are pivotal to all transactions. Multiply them by the number of countries a fintech app covers, add payment providers and spice the mix with identity-verification services, and you have a recipe for a catastrophe. Or, incredible success, if your fintech app manages to balance them all.
Common Software Testing Challenges in Fintech
Common means widely known, but it’s always a good practice to brush up on the basics. The core of every Finapp is its transactions, which can be successful, failed, pending, duplicated, or interrupted. Each category has its reasons, and grouping them can be a good first step in security testing.
Testing Payments and Transactions
What are the key attributes for a transaction to be categorised as successful or failed? Quickly resolving other more troublesome ones fixes the cash flow and frees up valuable resources to check for amounts, currency types (and by extension exchange rates), banking and payment processor fees, user balances and refund requests.
Running end-to-end tests before deployment is a sound strategy, but they take time and planning must account for them. Plan B can be automating these tests, leading to regression minimisation for each user running them. This, in turn, leads to reduced times for a manual or ad-hoc test. But such knowledge and practice is fine in theory, and needs time in reality.
Partnering saves time. Collaborating with a QA testing partner such as TestPapas brings years of specialized expertise to the table, freeing up valuable time for strategic decision-making. These partnerships help fintech companies strengthen their QA processes, expand test coverage, and improve overall product security.
Protecting User Data and Accounts
API is such a basic feature that its implementation is no longer a market advantage. Yet, it remains a security risk, as it provides the easiest access for third-party users directly into the system.
So, several other layers of safety exist to protect you and your users, not only from attackers wishing to exploit API requests, but also from those who probe other edge cases. Two-factor authentication, email authorisation for each transaction, session length limit, and robust account recovery with trained customer support agents are the first lines of defence.
Testing KYC and Identity Verification
Test three times, deploy once. Users are uploading personal, government-issued documents, and the security keeping them private should be the same as the governments that issue them. What happens if your system detects a faulty document and rejects it?
The best way to proceed is a manual review or to implement biometrics, but now try to scale that with the number of uploads per day, per county, per user. The numbers can get staggeringly high, and the result is partial automation and investing in quality customer care agents that can cover anything from a slow day to a spike in requests.
Managing Third-Party Integrations
We’ve brushed up on API; now let’s spice things up with API changes that can happen with each upgrade and must happen over time. A fintech app that lasts for more than, let’s say, five years is bound to go through iterations. Their API documentation must follow, and it keeps mistakes away.
Fintech apps should be routinely tested for server or power outages, especially if they rely on servers located across different countries while being connected. How will the traffic flow and redirect? What if a spike happens on any given occasion and delays in requests clog the flow? What if a payment fails in international transactions? Security is great when it has all the time and resources to process tens of requests.
How about a hundred? Thousands? Millions? What happens then? The response can not always be to “add more servers,” as providers like banks, payment gateways, and card processors all have their individual requirements that a fintech app must follow.
Testing Across Devices and Markets
What works and is safe on one device will definitely not work on another. The problem multiplies when fintech apps try to scale across multiple OS, each with different versions, across mobile, tablet, desktop and smartwatch, all within their network carrier ecosystem. The solution is to have a dedicated team for at least different OS’s as they can specialise in them and adapt to different devices.
But when going international, as each state has its currencies, legislative system, date formats, and payment methods, safety requires a state team, for they will know how to do location-based testing and real device usage better than others, having grown up on them.
Maintaining Performance and Reliability
Fintech users want convenience, which means 100% uptime. 100% uptime means solving problems on the fly, bridging timeouts with backup servers or rolling back troubling versions, smoothing out traffic during spikes, and handling possible service failures.
Even accounting for service failures that are not in-house (like different network carriers or regional server failures) is possible with a plan B. And plan B should always be to imagine the worst-case scenario and have a procedure to cover it. Performance complications and upgrades can also be solved with server leases, multi-tenant architecture, or directly investing in servers, if that possibility exists.
Conclusion
Regional challenges, worldwide legislation, rigorous tests, mounting costs, malicious AI, and spikes are all part and parcel of what makes a fintech app grow. Adversities can be solved with QA tests focusing on the whole customer journey, making sure it’s smooth from start to finish and making that the norm.
Yes, edge cases are nice to cover, but broader real-world coverage will always help more with identifying trouble before it rears its ugly head. And that’s what will keep each fintech company ahead of the curve.
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