الصفحة الرئيسية الإمارات العربية المتحدة Fraud Data Analyst
الصفحة الرئيسية الإمارات العربية المتحدة Fraud Data Analyst
Fraud Data Analyst
تفاصيل الوظيفة
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, let's chat. Callsign's Fraud Data Analyst will play a pivotal role in interpreting complex data sets to demonstrate and enhance the value of our solutions to clients. The role will sit in our Customer Success function and have a key impact on our ability to deliver data-driven insights and improvements for our clients. Applications will be open until Friday 31st January 2025, with successful candidates invited to an initial phone screening and technical interview(s) w/c 3rd February 2025. This position requires you to live in Abu Dhabi on a permanent basis, and we are happy to provide relocation support to help you make this transition. Requirements Key responsibilities of a Fraud Data Analyst:
- Expertise in conducting statistical analyses to identify trends, patterns, and anomalies in large complex data sets.
- Translate complex data findings into actionable insights and present them clearly to both technical and non-technical stakeholders.
- Build interactive dashboards and reports to support decision-making processes.
- Participate in client workshops and meetings, presenting tailored findings and recommendations.
- Collaborate with Callsign's Customer Success, Integration, Product, and other internal teams to advocate for client-specific analytics requirements and support the continuous development and scalability of Callsign's analytics capabilities.
- Serve as a critical feedback channel to drive the evolution of Callsign's solutions, ensuring they address emerging trends, client needs, and future market demands.
- Commitment to integrating best practices in data analysis and statistical modelling to continuously improve processes.
- Travel to client sites as needed to work directly with their teams to support them with analytics-related training, provide actionable insights, etc., for fraud prevention initiatives.
- Compliance with data privacy standards in all data handling and analysis activities.
- Ability to efficiently query, normalize, and extract actionable insights from complex data structures, including JSON and nested array formats, using advanced SQL and Python data analysis techniques.
- Proficiency in using one or more BI tools, such as AWS QuickSight, Looker, Tableau, Power BI, or Superset for creating interactive dashboards and reports.
- Understanding of various types of fraud, particularly within the digital banking landscape. This includes knowledge of common fraud modus operandi such as social engineering, account takeover, money mule activities, etc.
- Strong interpersonal skills to participate in client workshops and meetings, presenting tailored findings and recommendations.
- Financial Services experience within Retail, Private, or Commercial banking.
- Experience within Digital Transformation, Fraud, or Cyber Security sectors.
- Have an understanding of industry regulations and frameworks such as PSD2 SCA, Open Banking, SAMA CFF.
- Applied machine learning experience.
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الشركة المعلنة عن الوظيفة
Callsign
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