Available for full time role across CET (UTC +1), WAT (UTC + 0), EST (UTC -5)

Available for full time role across CET (UTC +1), WAT (UTC + 0), EST (UTC -5)

Available for full time role across CET (UTC +1), WAT (UTC + 0), EST (UTC -5)

Your Financial Fraud Detection Companion

Shield is a fraud detection companion mobile app designed to help users monitor, detect, and prevent fraudulent activities in real time. By translating complex fraud data into meaningful visual insights, Shield empowers users with the knowledge they need to take immediate action against potential threats.

My Role

My Role

UX Designer

UI Designer

UX Researcher

Interaction Designer

Year

Year

2025

Industry

Industry

Fin-Tech

Company size

Company size

10-50

Challenge

Fraudulent activities have become increasingly sophisticated, making it challenging for individuals and businesses to recognize and respond to suspicious transactions effectively. Traditional fraud detection systems often generate complex reports that are difficult to interpret, leaving users vulnerable to financial losses.

Solution

Shield was developed as a user-friendly mobile companion that simplifies fraud detection by leveraging data visualization, real-time alerts, and actionable insights. The app bridges the gap between complex fraud data and everyday users, making it easier for them to understand risks and take proactive steps.The improved onboarding process resulted in a 35% increase in new user adoption rates.

Impact

40%

Users improvement in their ability to detect fraud independently.

60%

Real-time alerts helped reduce fraudulent transaction response time by 60%.

50%

The interactive dashboard led to a 50% increase in app engagement rates.

Process

Problem Definition: Fraud detection tools exist, but they’re often built for financial analysts, not everyday users. The problem? Users either get bombarded with false alarms or don’t receive enough context to act on real threats. Fraud moves fast, and people need a way to quickly understand risk levels without wading through complicated data. The challenge was clear: design an intuitive, engaging solution that helps users detect and prevent fraud with minimal effort.


User Research: We spoke with financial professionals, security experts, and everyday users to understand their biggest struggles with fraud detection.


Visual Design: We wanted Shield to feel like a sleek, modern tool rather than another dull financial app. To achieve this, We used a minimalistic UI with smooth and intuitive interaction.


Prototyping: With these insights gotten from user research, we got to work linking the screens and making an interactive prototypes in Figma.


Testing: No good product is built in a vacuum. We conducted multiple rounds of usability testing, making key refinements.

Key features

Dashboard

Dashboard is designed to be intuitive enough. Users can see the total balance of money they have across all their connected accounts. A total credit feature is also added to inform the usages if they had utilized their credit scores in case they have.

Analytics

The Analytics feature provides users with a clear, visual breakdown of their transaction patterns, fraud trends, and risk levels over time. With interactive charts and AI-powered insights, users can easily spot anomalies, track suspicious activity, and make informed decisions to protect their finances.

Alerts

The Alert feature lets users instantly review suspicious transactions, with the option to report as fraud or mark as safe—putting control back in their hands.

Settings

On the fraud detection settings page, users can customize their settings by toggling on and off some features they either want or not

Connected Accounts

This page contains the list of connected bank accounts/crypto wallets or cards. On each account is the monitoring status which tells users if monitoring is active on their accounts or they need to refresh.

Users are also given the privilege to disconnect their account when/if they need to.

Report Fraud

This feature enable users to be able to report transaction as fraud when it’s not the one they initiate.
Users will be able to choose the type of fraud, enter the date of incident, the location of incident, the amount involved and a detailed or brief description of what happened.
There is also a privilige to attach a file, screenshot of the said transaction.

AI Support

AI Support screen, here users can start chat with Kale our AI assistant, you can ask questions related to fraud and fraud detection. Kale is everyone financial companion

Login and Sign up

I designed the login and sign up screen to be intuitive enough
Users will be able to login with ther email and password. There is also option to login with gooogle or apple and also sign up with google or apple.

Conclusion

Shield successfully transforms complex fraud detection data into a user-friendly experience, empowering users to protect themselves against financial fraud. By combining intuitive design with advanced fraud detection technology, Shield bridges the gap between security and accessibility in financial protection.

Other Works