System Data Analytics Specialist (Fraud / Callsign Optimization)Capitex • London, England, United Kingdom
System Data Analytics Specialist (Fraud / Callsign Optimization)
Capitex
- London, England, United Kingdom
- London, England, United Kingdom
À propos
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.
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Compétences linguistiques
- English
Avis aux utilisateurs
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