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Embark on a transformative journey as an Senior Fraud Analyst – AVP. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. You will join a dynamic data analytics team supporting the Fraud function within the Cards business at Barclays. As part of a global analytics group, you will contribute to managing fraud rules and models that enhance the performance of Fraud strategies and policies. Become a key member of a team that delivers meaningful impact to the business.
Job Responsibility:
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 efficient data pipelines for automated data acquisition and processing
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science
Requirements:
Programming experience in SQL/SAS/Unix/Oracle programming or equivalent with adjacent tools such as Python
Experience in performing data and statistical analysis for fraud strategy development & management or similar risk management function
Ability to deliver data‑driven insights that enhance the effectiveness of fraud risk systems, toolkits, and related data processes—directly supporting the early detection of fraud and helping minimize fraud losses
Experience working closely with technical, strategy, and business teams to develop and prioritize key projects and resource plans that optimize existing capabilities
Nice to have:
Experience with data visualization tools, such as Tableau
AI, machine-learning, and Databrick/Snowflake tool usage experience is a plus
Partnership with modelling teams to introduce new effective models into the system
Experience with governance and control teams to ensure proper documentation, risk ratings, and controls in place for all rule and model executions