AI-Powered Fraud Detection System Prototype

We are looking for an experienced **AI/ML developer** to build a prototype of an AI-powered fraud prevention platform for banks and financial institutions.

The system should detect multiple types of fraud, including:

* **Phishing and social engineering** where customers are tricked into giving away passwords or OTPs.
* **Account takeover** involving new devices, unusual logins and suspicious behaviour.
* **Online card fraud / card-not-present transactions.**
* **Unauthorized bank transfers** and unusual transaction patterns.
* **Suspicious beneficiaries and mule/ghost accounts.**
* Fraudulent transaction networks where funds move through multiple accounts.

The AI should analyse multiple signals together and produce a **fraud risk score (0–100)**, explain why an activity is suspicious, and generate an alert for the bank.

For example:

**New device → suspicious login → OTP requested → new beneficiary → unusual large transfer → suspicious recipient**

The system should recognise the combination of events and flag it as high risk.

### Prototype First

We specifically want to build a **working prototype first**, using simulated or publicly available data. It will not connect to real bank accounts at this stage.

The prototype should demonstrate how the AI could eventually integrate through APIs with a bank's existing systems without replacing the bank's existing app, core banking system or payment infrastructure.

The prototype should include a **simple fraud investigation dashboard** showing transactions, risk scores, alerts, suspicious accounts and the reasons for each alert.

Experience with **AI/ML, fraud detection, fintech, cybersecurity, transaction monitoring, anomaly detection and behavioural analytics** is highly preferred.

Please provide examples of similar projects, your proposed technology stack and your estimated timeline to complete the prototype. Show More