Fraud Data Analyst

Callsign; Abu Dhabi; On-site; AED 120,000 - 180,000; Full time

Job summary

An established industry player is on the lookout for a Data Analyst with expertise in fraud detection and prevention. This role is crucial in identifying fraud patterns and delivering actionable insights to clients and internal teams. You will leverage your strong proficiency in Python and SQL, along with your experience in dashboarding tools like Tableau and Quicksight, to analyze complex datasets and create visualizations that communicate fraud trends effectively. Join a dynamic team committed to making digital identity secure for everyone, and enjoy a supportive work environment with relocation assistance and generous benefits.

Benefits

Relocation Assistance

Annual airfare allowance

Comprehensive medical insurance

3 months full pay maternity leave

2 weeks full pay paternity leave

25 days of annual leave

Qualifications

• 2-3 years of experience in data analysis or data science focused on fraud detection.
• Strong proficiency in Python and SQL for data manipulation and analysis.

Responsibilities

• Conduct advanced statistical analyses to uncover fraudulent activity within datasets.
• Build and maintain interactive dashboards using Tableau/Quicksight.

Skills

Fraud Detection

Data Analysis

Python

SQL

Data Storytelling

Statistical Analysis

Communication Skills

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Bachelor's degree in Engineering

Bachelor's degree in Information Systems

Tools

Tableau

Quicksight

Job description

Hacker, Vladimir Leonidovitch Levin, attempted the biggest bank heist the world had ever seen via dial-up internet in 1994, Zia Hayat, Callsign CEO and founder, was hooked - armchair fraud became a real possibility. From this moment, Zia knew he wanted to play a part in stopping the bad guys and securing the internet for all.

Founded In 2012, Callsign's mission has been to make Digital Identity simple and secure for everyone and everything. In that time, we've grown to 170 employees, opened offices in London and Abu Dhabi, been recognised as a WEF Global Innovator and our technology is being used by many of the world's leading financial institutions to keep millions of consumers safe. But we aren't stopping here. The identity revolution has only just begun, and we are looking to hire the brightest and inquisitive minds to help us make every web, mobile and physical interaction seamless and secure. If this sounds like you, lets chat.

Applications will remain open until Wednesday, 30th April 2025. Shortlisted candidates will be invited to an initial phone screening, followed by one or more technical interviews.

Role Overview:

We are seeking a Data Analyst with proven experience working in fraud/financial crime detection & prevention. The candidate must have strong hands-on proficiency in Python and SQL, with exposure to dashboarding tools (such as Tableau/Quicksight) desirable. This role plays a critical part in identifying fraud patterns, enabling data-driven prevention strategies, and delivering value to clients and internal teams through actionable insights. This is an on-site role based in Abu Dhabi, United Arab Emirates, and requires the candidate to work from our office in Abu Dhabi office 5 days a week. We are happy to provide relocation support to help you make this transition.

Key Responsibilities of a Fraud Data Analyst:

• Fraud Detection & Analysis: Conduct advanced statistical analyses and anomaly detection to uncover suspicious behavior and fraudulent activity within large and complex datasets.
• Mandatory Tech Stack: Leverage Python and SQL to process, analyze, and model fraud-related data; automate detection pipelines and develop analytical workflows.
• Data Storytelling: Build and maintain interactive dashboards using Tableau/Quicksight, enabling visualization of fraud trends, KPIs, and performance metrics.
• Insight Generation: Translate complex analytical findings into clear, actionable insights for both technical and non-technical stakeholders, enabling faster fraud response.
• Client Engagement: Support client workshops and deliver tailored fraud analytics recommendations that align with business goals and risk posture.
• Cross-Team Collaboration: Work closely with Customer Success, Integration, Product, and Engineering teams to embed fraud analytics into product solutions and client engagements.
• Product Feedback: Provide analytical feedback to shape the evolution of Callsign's fraud detection solutions, helping to stay ahead of emerging fraud threats and evolving market needs.
• Best Practices & Governance: Champion data analysis best practices, ensure compliance with privacy and regulatory standards, and maintain high-quality documentation.
• Client Enablement: Travel as needed to client sites to provide training, insights, and analytical support for fraud prevention initiatives.

Mandatory Requirements:

• Proven experience in Fraud Data Analytics - strong understanding of fraud/financial crime Modus Operandi, detection methodologies, and behavioral analysis.
• Advanced proficiency in Python and SQL - hands-on experience with data extraction, cleansing, manipulation, and statistical analysis.
• Hands-on experience building Tableau/Quicksight dashboards - capable of creating insightful and visually engaging dashboards for diverse audiences.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related STEM discipline.
• 2-3 years of hands-on experience in data analysis or data science, with a focus on fraud detection, financial crime, or risk analytics.
• Strong grasp of data modeling concepts, database systems, and visualization best practices.
• Excellent verbal and written communication skills, with the ability to present insights to both technical and business stakeholders.

Additional Skills (Nice to Have):

• Experience within Financial Services (Retail, Private, or Commercial Banking).
• Exposure to Digital Transformation or Cybersecurity domains.
• Familiarity with regulatory frameworks such as PSD2 SCA, Open Banking, or SAMA CFF.
• Applied experience with machine learning techniques for fraud detection or anomaly analysis.

Benefits

• Relocation Assistance to Abu Dhabi including flights, accommodation & visa support for you and any dependents.
• Annual airfare allowance for a return flight home.
• Comprehensive medical insurance for you and any dependents.
• 3 months full pay maternity leaves & 2 weeks full pay paternity leaves.
• 25 days of annual leave + Callsign Bank Holiday (not included in holiday allowance).