Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Optimise fraud detection systems and analyse data to enhance security.
- Company: Join a leading Saudi Arabian bank with a focus on innovation.
- Benefits: Fully remote work, competitive daily rate, and potential for contract renewal.
- Why this job: Make a real impact in fraud prevention while working with cutting-edge technology.
- Qualifications: 5+ years in fraud analytics, strong SQL and Python skills required.
- Other info: Collaborate with top professionals in a dynamic, strategic environment.
The predicted salary is between 36000 - 60000 £ per year.
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.
System Data Analytics Specialist (Fraud / Callsign Optimization) employer: Capitex
Contact Detail:
Capitex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land System Data Analytics Specialist (Fraud / Callsign Optimization)
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and fraud analytics space on LinkedIn. Join relevant groups and participate in discussions. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Callsign or similar systems. Include case studies, dashboards, and any cool projects you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with SQL, Python, and data visualisation tools. Practice explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace System Data Analytics Specialist (Fraud / Callsign Optimization)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with fraud analytics and Callsign. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about fraud prevention and how your background makes you the perfect fit for this role. We love seeing enthusiasm and a personal touch!
Show Off Your Technical Skills: Since this role requires strong SQL, Python, and data visualisation skills, make sure to mention specific tools and projects where you’ve used these. We’re keen to see your technical prowess in action!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Capitex
✨Know Your Stuff
Make sure you brush up on your knowledge of fraud analytics and the Callsign platform. Be ready to discuss your hands-on experience with configuring and tuning these systems, as well as any specific projects you've worked on in the banking sector.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical mindset by discussing how you've interpreted complex data flows in the past. Bring examples of how you've used SQL or Python to solve problems or optimise fraud detection systems.
✨Collaboration is Key
Since this role involves liaising with various teams, think of examples where you've successfully collaborated with stakeholders. Highlight your communication skills and how you've driven performance improvements through teamwork.
✨Stay Updated on Trends
Familiarise yourself with the latest trends in fraud prevention and risk analytics. Be prepared to discuss emerging threats and how you would approach them using your expertise in behavioural biometrics and machine learning models.
