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Join us at Barclays as a Transaction Monitoring Senior Analyst. Be part of our transaction monitoring team and leverage data analytics expertise within the financial crime space. To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems.
Job Responsibility:
Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds
Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development
Design and implementation of data management strategies for model maintenance and future development
Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation
Monitoring model performance in real-time and identify any potential issues or biases
Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation
Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation
Requirements:
Proficiency in Python and SQL, with an understanding of data analysis
Hands-on experience in transaction monitoring and financial crime analytics
Ability to prepare and present Management Information (MI) reports effectively
Nice to have:
Knowledge of risk coverage related to money laundering and terrorist financing
Familiarity with the current regulatory landscape within financial crime compliance
Background in mathematics or statistics, including areas such as probability, machine learning, and AI