About The Position

Join our Financial Crime Detection team as Senior Analyst Transaction Monitoring Detection & Optimization and elevate the precision and performance of Barclays’ global transaction monitoring. This AVP position plays a significant role in helping to strengthen the way we identify and respond to financial crime risk. In this role, you’ll take an active hand in enhancing our TM solutions across Barclays UK and Barclays International, diving deep into model performance, evaluating system behaviour, and collaborating with partners across Model Validation, Technology, and Financial Crime. You will support the development and optimization of automated detection capabilities, work closely with stakeholders to understand emerging priorities, and identify opportunities to elevate the effectiveness and precision of our monitoring framework. This is your chance to shape critical detection tools and contribute to a more resilient, data‑driven control environment.

Requirements

  • Transaction Monitoring Model & Controls experience
  • Critical thinking and Analytical mindset
  • The ability to solve problems logically and/or creatively, demonstrating professional judgment, quality control, and adherence to high standards

Nice To Haves

  • In-depth understanding of Financial Institution data (e.g. Customer/Account, Transactional, Payment), systems and flows
  • Familiarity with latest TM Machine Learning model techniques and traditional TM systems (Actimize, Mantas, Quantexa)
  • Understanding of statistical concepts such as descriptive statistics, sampling, classification, and its application towards setting up and optimizing TM systems
  • Risk and controls
  • Change and transformation
  • Business acumen
  • Strategic thinking
  • Digital and technology
  • Job-specific technical skills

Responsibilities

  • 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.
  • Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
  • Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
  • Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
  • Lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
  • Identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
  • Communicate complex information.
  • Influence or convince stakeholders to achieve outcomes.
  • Support the development and optimization of automated detection capabilities.
  • Work closely with stakeholders to understand emerging priorities.
  • Identify opportunities to elevate the effectiveness and precision of our monitoring framework.

Benefits

  • Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.
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