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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 and strong skills in SQL and Python required.
- Other info: Collaborate with top professionals in a dynamic and 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) in London 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) in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Use LinkedIn to reach out to people working in fraud analytics or at the bank you're eyeing. A friendly message can go a long way, and who knows, they might just put in a good word for you!
✨Show Off Your Skills
When you land that interview, be ready to showcase your expertise in SQL, Python, and data visualisation. Bring examples of your work, like dashboards or reports you've created, to demonstrate how you can optimise systems like Callsign. Let your skills shine!
✨Ask Smart Questions
During interviews, don’t just answer questions—ask them too! Inquire about the current challenges they face with fraud detection and how they measure success. This shows you're genuinely interested and gives you insight into how you can contribute.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace System Data Analytics Specialist (Fraud / Callsign Optimization) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with fraud analytics and the Callsign platform. 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 how you’ve applied your technical expertise in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on joining our team!
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 challenges you've faced 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 dashboards or performance metrics you've built, and be ready to explain how they improved fraud detection.
✨Collaboration is Key
Since this role involves liaising with various teams, think of examples where you've successfully collaborated with IT security, fraud strategy, or vendor teams. Highlight your communication skills and how they helped drive performance improvements.
✨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 machine learning models and behavioral biometrics.
