System Data Analytics Specialist (Fraud / Callsign Optimization)

Capitex; Greater London; Remote; GBP 100,000 - 125,000; Full time

Job summary

A leading financial analytics firm seeks a System Data Analytics Specialist with deep expertise in fraud analytics and Callsign platform optimization. This fully remote role involves calibrating fraud detection systems, conducting data analysis, and collaborating with fraud strategy teams. The ideal candidate should have over 5 years of experience in the banking sector and strong analytical skills in SQL and Python. This 6-month contract aims to enhance fraud detection mechanisms for a top-tier Saudi financial institution.

Benefits

Fully remote engagement

Competitive daily rate

Opportunity with a top-tier Saudi financial institution

Qualifications

• Proven experience working directly with Callsign (configuration, tuning, or analytics).
• Strong SQL, Python, and data visualization skills.
• Excellent analytical mindset with ability to interpret complex data flows.

Responsibilities

• Calibrate and fine-tune the Callsign engine for optimal performance.
• Conduct analytics on fraud event data and system logs.
• Configure system integrations between Callsign and banking systems.
• Document configurations and model changes.

Skills

SQL

Python

Data visualization (Power BI, Tableau)

Fraud prevention

Risk analytics

Callsign

Behavioral biometrics

Communication skills in English

Education

5+ years experience in fraud prevention, risk analytics, or authentication systems

Job 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.