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Assitant Manager Fraud Analytics (Noida)

Barclays · Noida

📅 19/08/2026
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Date live: 06/19/2026 Business Area: Group Economic Crime COO Area of Expertise: Data & Analytics Contract: Permanent Reference Code: JR-0000102167 Embark on a transformative journey as Assistant Manager Fraud Analytics at Barclays, where you will play a pivotal role in managing risk and enhancing controls within your area of responsibility. You will take ownership of your work, ensuring it aligns with the relevant rules, regulations, and codes of conduct while contributing to the overall integrity of the fraud analytics function. Key critical skills required for this role include: - Expertise in SQL, SAS, Data Analytics and Reporting. - Excellent communication and interpersonal skills to effectively communicate with stakeholders, build relationships, and present findings. - Strong analytical skills to interpret complex data quickly and make informed decisions in a fast-paced environment. - Proficiency in designing and building data pipelines to automate data movement and processing. - Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification You may be assessed on key essential skills relevant for success in role, such as risk and controls, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Noida. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities - Identification, collection, extraction of data from various sources, including internal and external sources. - Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. - Development and maintenance of productive data pipelines for automated data acquisition and processin .
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