# System Data Analytics Specialist (Fraud / Callsign Optimization)

> Capitex · London, United Kingdom (Remote) · Contract · Posted 2025-10-13

**Workplace:** remote

## Description

### **Job Title:** System Data Analytics Specialist (Fraud / Callsign Optimization)

**Location:** Remote (Global)  
**Contract Duration:** 6 months (with possible extension)  
**Client:** Leading Saudi Arabian Bank  
**Type:** Contract / Consultant

### **About the Role**

We are seeking a **System Data Analytics Specialist** with deep technical expertise in **fraud analytics, digital identity systems, and Callsign platform optimization**. The ideal candidate will have **hands-on experience configuring, tuning, and optimizing Callsign** or similar fraud detection and authentication systems within a banking or financial services environment.

You will play a key role in **enhancing the accuracy, performance, and effectiveness** of fraud detection rules and behavioral analytics. Working closely with fraud strategy, risk, and technology teams, you’ll ensure the Callsign system is delivering maximum protection with minimal customer friction.

### **Key Responsibilities**

-   **System Optimization & Tuning**

-   Calibrate and fine-tune the **Callsign fraud detection and authentication engine** for optimal performance.
-   Analyze data models, risk signals, and rule outputs to identify false positives/negatives and optimize model thresholds.
-   Work on continuous improvement of Callsign workflows, journeys, and intervention logic.

-   **Data Analysis & Insights**

-   Conduct deep analytics on fraud event data, behavioral biometrics, and system logs.
-   Build dashboards, performance metrics, and reporting pipelines to monitor Callsign efficacy.
-   Collaborate with fraud analytics teams to detect trends and emerging threats.

-   **Technical Implementation**

-   Configure system integrations between Callsign and core banking systems, APIs, or orchestration layers.
-   Support the deployment of new fraud scenarios and machine learning models.
-   Manage test environments, perform regression testing, and validate production changes.

-   **Stakeholder Collaboration**

-   Liaise with fraud strategy, IT security, and vendor teams to drive performance improvements.
-   Document configurations, model changes, and system updates.
-   Provide expert guidance on Callsign data structures, risk scoring, and orchestration capabilities.

### **Required Skills & Experience**

-   **Mandatory:**

-   Proven experience working directly with **Callsign** (configuration, tuning, or analytics).
-   5+ years of experience in **fraud prevention, risk analytics, or authentication systems** in the banking sector.
-   Strong **SQL, Python, and data visualization** skills (e.g., Power BI, Tableau).
-   Familiarity with **behavioral biometrics**, device fingerprinting, and event-based fraud modeling.
-   Excellent analytical mindset and ability to interpret complex data flows.
-   Strong communication skills in English (Arabic is a plus).

-   **Preferred:**

-   Experience with **machine learning models** used for fraud or risk scoring.
-   Exposure to **other fraud platforms** (e.g., ThreatMetrix, Feedzai, SAS Fraud Management).
-   Knowledge of regulatory environments in **MENA banking** and **SAMA** compliance standards.

### **What’s Offered**

-   **Fully remote engagement** – work from anywhere.
-   **6-month contract**, with possibility of renewal.
-   Opportunity to work with a **top-tier Saudi financial institution** on a strategic fraud prevention initiative.
-   Competitive daily rate, commensurate with experience.

## Apply

[Apply at Capitex](https://apply.workable.com/capitex/j/A1FEB5997E/apply)

---
Powered by [Workable](https://www.workable.com)