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Driving resilient, data‑informed monitoring frameworks that strengthen Barclays’ control environment. Join our Financial Crime Detection team as VP Transaction Monitoring Detection & Optimization and play a pivotal role in shaping the end-to-end lifecycle of TM detection solutions across Barclays UK and Barclays International. This position partners closely with other Financial Crime Detection specialists, Technology, Operations, and business stakeholders to align detection capabilities with evolving priorities and emerging risks. You will provide experienced oversight of global TM models, engage with validation and data teams to address highly detailed model related considerations, and support the advancement of automated detection capabilities that enhance precision, efficiency, and overall control effectiveness. This is a high impact opportunity to influence critical monitoring frameworks and strengthen the bank’s intelligence focused approach to financial crime risk management.
Job Responsibility:
Design, develop, implement, and maintain various statistical, mathematical and machine learning models
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:
Transaction monitoring model and advanced controls capabilities
Critical thinking and an analytical mindset
Regulatory and audit communication capability
Nice to have:
In-depth understanding of Financial Institution data (e.g. Customer/Account, Transactional, Payment), systems and flows
Familiarity of Big Data / Data Lake technologies such as Apache Hadoop Spark, Hive, Impala
Understanding of statistical concepts such as descriptive statistics, sampling, classification, and its application towards setting up and optimizing TM systems
What we offer:
Wellness center with modern amenities
fitness centre
health center providing primary and urgent care, wellness exams, health coaching, and vaccinations
variety of sophisticated dining options including colleague restaurant and private executive dining room